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    AuthorTitleYearJournal/ProceedingsDOI/URL
    Guilherme da Fonseca Pereira, Goran Jelicic, Andreas Kroll Spatio-temporal temperature models for growing 2D workpieces during Direct Laser Deposition with emissivity compensation 2024 8th IEEE Conference on Control Technology and Applications (CCTA), Newcastle, UK, submitted, August   
    BibTeX:
    @inproceedings{Pereira-CCTA-2024,
     address = {Newcastle, UK},
     author = {Guilherme da Fonseca Pereira and Goran Jelicic and Andreas Kroll},
     booktitle = {8th IEEE Conference on Control Technology and Applications (CCTA)},
     date = {2024},
     month = {August},
     mrtnote = {peer},
     note = {submitted},
     owner = {gp},
     timestamp = {2024.02.20},
     title = {Spatio-temporal temperature models for growing 2D
    workpieces during Direct Laser Deposition with emissivity
    compensation},
     year = {2024}
    }
    
    
    Zhe Shen, Robert Schmoll, Andreas Kroll Measurement of Fluid Flow Velocity by Using Infrared and Visual Cameras: Comparison and Evaluation of Optical Flow Estimation Algorithms 2023 IEEE Sensors 2023, Vienna, Austria, IEEE, 30. October  DOI , URL  
    BibTeX:
    @inproceedings{Shen2023,
     address = {Vienna, Austria},
     author = {Zhe Shen and Robert Schmoll and Andreas Kroll},
     booktitle = {IEEE Sensors 2023},
     doi = {10.1109/SENSORS56945.2023.10324883},
     language = {english},
     month = {30. October},
     mrtnote = {peer, poster:Shen},
     organization = {IEEE},
     owner = {shen},
     title = {Measurement of Fluid Flow Velocity by Using Infrared and
    Visual Cameras: Comparison and Evaluation of Optical Flow
    Estimation
    Algorithms},
     url = {https://ieeexplore.ieee.org/document/10324883},
     year = {2023}
    }
    
    
    Miguel Mendez, Sebastian Schramm, Robert Schmoll, Andreas Kroll Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography System 2023 Journal of Sensors and Sensor Systems (JSSS), submitted   
    BibTeX:
    @article{Mendez2023c,
     author = {Miguel Mendez and Sebastian Schramm and Robert
    Schmoll and Andreas Kroll},
     journal = {Journal of Sensors and Sensor Systems (JSSS)},
     mrtnote = {peer},
     note = {submitted},
     owner = {mendez},
     title = {Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography
    System},
     year = {2023}
    }
    
    
    Lars Kistner, Robert Schmoll, Andreas Kroll An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation 2023 Journal of Sensors and Sensor Systems (JSSS), submitted   
    BibTeX:
    @article{Kistner2023c,
     author = {Lars Kistner and Robert Schmoll and Andreas Kroll},
     journal = {Journal of Sensors and Sensor Systems (JSSS)},
     mrtnote = {peer},
     note = {submitted},
     owner = {kistner},
     title = {An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed
    estimation},
     year = {2023}
    }
    
    
    Guilherme da Fonseca Pereira, Goran Jelicic, Andreas Kroll Spatio-temporal LPV model of 2D workpiece temperature for Direct Laser Deposition 2023 IFAC-PapersOnLine, vol. 56, no. 2, pp. 6606-6611, 22nd IFAC World Congress, Juli  DOI , URL  
    BibTeX:
    @article{Pereira-IFAC-2023,
     author = {Guilherme da Fonseca Pereira and Goran Jelicic and Andreas Kroll},
     doi = {10.1016/j.ifacol.2023.10.359},
     issn = {2405-8963},
     journal = {IFAC-PapersOnLine},
     month = {Juli},
     mrtnote = {peer},
     number = {2},
     owner = {gp},
     pages = {6606--6611},
     series = {22nd IFAC World Congress},
     timestamp = {2024.02.12},
     title = {Spatio-temporal {LPV} model of {2D} workpiece temperature
    for Direct Laser
    Deposition},
     url = {https://www.sciencedirect.com/science/article/pii/S2405896323007267},
     volume = {56},
     year = {2023}
    }
    
    
    Felix Wittich, Andreas Kroll Data driven Structure Identification of Takagi Sugeno Fuzzy Models Using a Bounded Error Approach 2023 Proceedings of the IEEE International Conference on Fuzzy Systems, Songdo Incheon, August  DOI , URL  
    BibTeX:
    @inproceedings{Wittich-FUZZ-2023,
     address = {Songdo Incheon},
     author = {Felix Wittich and Andreas Kroll},
     booktitle = {Proceedings of the IEEE International Conference on
    Fuzzy Systems},
     date = {2023},
     doi = {10.1109/FUZZ52849.2023.10309735},
     month = {August},
     mrtnote = {peer},
     owner = {wittich},
     timestamp = {2023.04.20},
     title = {Data driven Structure Identification of Takagi Sugeno Fuzzy Models Using a Bounded Error
    Approach},
     url = {https://ieeexplore.ieee.org/document/10309735},
     year = {2023}
    }
    
    
    Axel Dürrbaum, Farzad Rezazadeh, Andreas Kroll Automatic Camera-based advanced Slump FlowTesting for Improved Reliability 2023 IEEE Sensors 2023, Vienna, Austria, IEEE, 30. October  DOI , URL  
    BibTeX:
    @inproceedings{2023-ad_fr_ak_-Senors_2023-SFT_Camera,
     address = {Vienna, Austria},
     author = {Axel Dürrbaum and Farzad Rezazadeh and Andreas
    Kroll},
     booktitle = {IEEE Sensors 2023},
     doi = {10.1109/SENSORS56945.2023.10325030},
     language = {english},
     month = {30. October},
     mrtnote = {peer,talk:Dürrbaum,EEpBeton},
     organization = {IEEE},
     owner = {duerrbaum},
     title = {Automatic Camera-based advanced Slump FlowTesting
    for Improved Reliability},
     url = {https://ieeexplore.ieee.org/document/10325030},
     year = {2023}
    }
    
    
    Thomas Wegener, Alexander Liehr, Artjom Bolender, Sebastian Degener, Felix Wittich, Andreas Kroll, Thomas Niendorf Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard turning 2022 HTM Journal of Heat Treatment and Materials, vol. 77, no. 2, pp. 156 - 172  DOI  
    BibTeX:
    @article{Wegener_HTM2021,
     author = {Thomas Wegener and Alexander Liehr and Artjom Bolender and Sebastian Degener and Felix Wittich and Andreas Kroll and Thomas
    Niendorf},
     doi = {https://doi.org/10.1515/htm-2021-0023},
     journal = {HTM Journal of Heat Treatment and Materials},
     language = {english},
     mrtnote = {peer, HartDrehen},
     number = {2},
     owner = {wittich},
     pages = {156 -- 172},
     timestamp = {2021.11.07},
     title = {Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard
    turning},
     volume = {77},
     year = {2022}
    }
    
    
    Matthias Himmelsbach, Andreas Kroll Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen 2022 at - Automatisierungstechnik, vol. 70, no. 2, pp. 119-133  DOI  
    Abstract: In diesem Beitrag wird eine Methode zum Entwurf von Testsignalen für die Identifikation lokal-affiner dynamischer Takagi-Sugeno-SISO-Modelle vorgestellt. Diese Methode verwendet ein zuvor identifizierten Prozessmodell und nutzt so erlangtes Wissen über die Struktur mittels modellprädiktiver Regelung aus. Im Rahmen einer akademischen Fallstudie wird die Methode demonstriert.
    BibTeX:
    @article{2022-MH-at-MPC,
     abstract = {In diesem Beitrag wird eine Methode zum Entwurf von Testsignalen für die Identifikation lokal-affiner dynamischer Takagi-Sugeno-SISO-Modelle vorgestellt. Diese Methode verwendet ein zuvor identifizierten Prozessmodell und nutzt so erlangtes Wissen über die Struktur mittels modellprädiktiver Regelung aus. Im Rahmen einer akademischen Fallstudie wird die Methode demonstriert.},
     author = {Matthias Himmelsbach and Andreas Kroll},
     doi = {10.1515/auto-2021-0043},
     journal = {at -- Automatisierungstechnik},
     journaltitle = {Computational Intelligence},
     keywords = {Takagi-Sugeno-Modelle; optimaler Experimententwurf; Testsignalentwurf; modellprädiktive
    Regelung},
     language = {german},
     mrtnote = {peer,OED},
     number = {2},
     owner = {himmelsbach},
     pages = {119--133},
     pubstate = {submitted},
     timestamp = {2020.11.06},
     title = {Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen},
     volume = {70},
     year = {2022}
    }
    
    
    Engelhardt, A., Kahl, M., Richter, J., Krooß, P., Kroll, A., Niendorf T. Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modelling 2022 Additive Manufacturing, vol. 55, Elsevier  DOI , URL  
    BibTeX:
    @article{ADDMA2021,
     author = {Engelhardt, A. and Kahl, M. and Richter, J. and Krooß, P. and Kroll, A. and Niendorf
    
    T.},
     doi = {https://doi.org/10.1016/j.addma.2022.102858},
     issn = {2214-8604},
     journal = {Additive Manufacturing},
     mrtnote = {peer, DigiWerk},
     owner = {duerrbaum},
     publisher = {Elsevier},
     timestamp = {2022.04.27},
     title = {Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven
    modelling},
     url = {https://www.sciencedirect.com/science/article/pii/S2214860422002573},
     volume = {55},
     year = {2022}
    }
    
    
    Alexander Rehmer, Marco Klute, Andreas Kroll and Hans-Peter Heim An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks 2022 IFAC-PapersOnLine, 6th IEEE Conference on Control Technology and Applications (CCTA), vol. 53, pp. 1427-1432, Elsevier, Trieste, Italy, IFAC, 22.-25- August   
    Abstract: Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.
    BibTeX:
    @inproceedings{Rehmer-CCTA-2022,
     abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
     address = {Trieste, Italy},
     author = {Alexander Rehmer and Marco Klute and Andreas Kroll
    and Hans-Peter Heim},
     booktitle = {6th IEEE Conference on Control Technology and
    Applications (CCTA)},
     journal = {IFAC-PapersOnLine},
     language = {english},
     month = {22.-25- August},
     mrtnote = {peer,IdRNN},
     organization = {IFAC},
     owner = {rehmer},
     pages = {1427-1432},
     publisher = {Elsevier},
     timestamp = {2019.11.25},
     title = {An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural
    Networks},
     volume = {53},
     year = {2022}
    }
    
    
    Alexander Rehmer, Andreas Kroll On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks 2022 IFAC-PapersOnLine, Proceedings of the 26th International Conference on System Theory Control and Computing (ICSTCC), pp. 446-451, Sinaia, Romania, 19.-21- October   
    Abstract: Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.
    BibTeX:
    @inproceedings{Rehmer-ICSTCC-2022,
     abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
     address = {Sinaia, Romania},
     author = {Alexander Rehmer and Andreas Kroll},
     booktitle = {Proceedings of the 26th International Conference on System Theory
    Control and Computing
    (ICSTCC)},
     journal = {IFAC-PapersOnLine},
     language = {english},
     month = {19.-21- October},
     mrtnote = {peer,IdRNN},
     owner = {rehmer},
     pages = {446-451},
     timestamp = {2019.11.25},
     title = {On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural
    Networks},
     year = {2022}
    }
    
    
    Alexander Rehmer, Andreas Kroll A Deep Recurrent Neural Network model for affine quasi-LPV System identification 2022 Preprints of the 20th European Control Conference (ECC), pp. 566-571, London, UK, 12.-15. July   
    BibTeX:
    @inproceedings{RehmerECC2022_2,
     address = {London, UK},
     author = {Alexander Rehmer and Andreas Kroll},
     booktitle = {Preprints of the 20th European Control Conference
    (ECC)},
     month = {12.-15. July},
     mrtnote = {peer,IdRNN},
     owner = {gringard},
     pages = {566-571},
     timestamp = {2017.12.13},
     title = {A Deep Recurrent Neural Network model for affine
    quasi-LPV System identification},
     year = {2022}
    }
    
    
    Sören Dierks, Andreas Kroll Remote quantification of methane leaks in the laboratory and in biogas plants 2021 International Journal of Remote Sensing, vol. 42, no. 20, pp. 7978–-8003  DOI  
    Abstract: Gas leaks can occur not only in industrial environments such as refineries but also in biogas plants. The main compound of the emitted biogas is methane, which is a greenhouse gas with a higher global warming potential than carbon dioxide (CO 2 ). Considering that the climate change and the reduction of greenhouse gases are becoming more and more important, it is crucial to be able to not only localize but also to quantify methane leakages. Based on the quantification of methane leakages, not only the effect of the effluent gases to the atmosphere but also the economic loss can be estimated. Another aspect is safety: biogas consists of different gases, mainly methane which can create an explosive mixture with air, but also hydrogen sulphide, which is toxic. This motivates remotely measuring the gas emissions. In this paper a remote measurement system and model is presented to estimate the methane volume flow due to a leak based on infrared optical sensors and sensor data fusion. The sensors are calibrated and the system is tested in the laboratory as well as in biogas plants. The laboratory results show that the measurement model allows an estimation of the methane volume flow if the assumptions of the measurement model are met. The highest relative deviations occur for small reference methane volume flows while the absolute deviations are similar. In contrast to the laboratory measurements the results of the measurements in biogas plants show partially high deviations from the reference. These deviations can have multiple reasons which cannot be determined for each single case because many of them occur at the same time. Future work includes improvements in order to reduce the deviations of the methane volume flow estimation. This could be done not only by improving the processing steps of the velocity estimation but also by using more accurate sensors
    BibTeX:
    @article{2021-Dierks_Kroll-RSE-Remote_Quantification_methane_leaks,
     abstract = {Gas leaks can occur not only in industrial environments such as refineries but also in biogas plants. The main compound of the emitted biogas is methane, which is a greenhouse gas with a higher global warming potential than carbon dioxide (CO 2 ). Considering that the climate change and the reduction of greenhouse gases are becoming more and more important, it is crucial to be able to not only localize but also to quantify methane leakages. Based on the quantification of methane leakages, not only the effect of the effluent gases to the atmosphere but also the economic loss can be estimated. Another aspect is safety: biogas consists of different gases, mainly methane which can create an explosive mixture with air, but also hydrogen sulphide, which is toxic. This motivates remotely measuring the gas emissions. In this paper a remote measurement system and model is presented to estimate the methane volume flow due to a leak based on infrared optical sensors and sensor data fusion. The sensors are calibrated and the system is tested in the laboratory as well as in biogas plants. The laboratory results show that the measurement model allows an estimation of the methane volume flow if the assumptions of the measurement model are met. The highest relative deviations occur for small reference methane volume flows while the absolute deviations are similar. In contrast to the laboratory measurements the results of the measurements in biogas plants show partially high deviations from the reference. These deviations can have multiple reasons which cannot be determined for each single case because many of them occur at the same time. Future work includes improvements in order to reduce the deviations of the methane volume flow estimation. This could be done not only by improving the processing steps of the velocity estimation but also by using more accurate sensors},
     author = {Sören Dierks and Andreas Kroll},
     date = {2021-09-21},
     doi = {https://doi.org/10.1080/01431161.2021.1959956},
     journal = {International Journal of Remote Sensing},
     language = {englisch},
     mrtnote = {peer},
     number = {20},
     owner = {duerrbaum},
     pages = {7978–-8003},
     timestamp = {2020.12.18},
     title = {Remote quantification of methane leaks in the
    laboratory and in biogas plants},
     volume = {42},
     year = {2021}
    }
    
    
    Sebastian Schramm, Jannik Ebert, Johannes Rangel, Robert Schmoll, Andreas Kroll Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras 2021 Journal of Sensors and Sensor Systems (JSSS), vol. 10, pp. 207-218  DOI , URL  
    BibTeX:
    @article{Schramm2021JSSS,
     author = {Sebastian Schramm and Jannik Ebert and Johannes Rangel and Robert Schmoll and Andreas
    Kroll},
     doi = {10.5194/jsss-10-207-2021},
     journal = {Journal of Sensors and Sensor Systems (JSSS)},
     mrtnote = {peer, ThermoFusion},
     pages = {207--218},
     title = {Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras},
     url = {https://jsss.copernicus.org/articles/10/207/2021/},
     volume = {10},
     year = {2021}
    }
    
    
    Schramm, Sebastian, Rangel, Johannes, Aguirre Salazar, Daniela, Schmoll, Robert, Kroll, Andreas Target Analysis for the Multispectral Geometric Calibration of Cameras in Visual and Infrared Spectral Range 2021 IEEE Sensors Journal, vol. 21, no. 2, pp. 2159-2168  DOI , URL  
    BibTeX:
    @article{SchrammRangel2021,
     author = {Schramm, Sebastian and Rangel, Johannes and Aguirre Salazar, Daniela and Schmoll, Robert and Kroll, Andreas},
     doi = {10.1109/JSEN.2020.3019959},
     journal = {IEEE Sensors Journal},
     mrtnote = {peer,Gas3D, ThermoFusion},
     number = {2},
     pages = {2159-2168},
     title = {Target Analysis for the Multispectral Geometric Calibration of Cameras in Visual and Infrared Spectral
    Range},
     url = {https://ieeexplore.ieee.org/document/9178752},
     volume = {21},
     year = {2021}
    }
    
    
    Schramm, Sebastian, Osterhold, Phil, Schmoll, Robert, Kroll, Andreas Combining Modern 3D Reconstruction and Thermal Imaging: Generation of Large-Scale 3D Thermograms in Real-Time 2021 Quantitative InfraRed Thermography Journal, vol. 19, no. 5, pp. 295-311  DOI  
    Abstract: In recent years, due to the availability of affordable 3D sensors and the increased computing power, various methods for the generation of 3D thermograms have been developed. 3D thermal imaging describes the fusion of geometry and temperature data. A well-established approach is the fusion of data from depth and long-wave infrared (LWIR) cameras. However, these models generated in real-time have the limitation that the model size is limited due to inefficient data storage approach. Newer algorithms from Computer Vision promise to overcome this limitation by more efficient data handling and storage. Within this work, three state of the art 3D reconstruction algorithms from the computer vision community are compared and one of these is extended by overlaying thermal data, which allows the creation of large-scale 3D thermograms with a portable 3D measurement system. For this purpose, a geometric calibration is required, the data structure is adapted, and the handling of cyclic non-uniformity corrections required for uncooled LWIR cameras is described. The results will show exemplary 3D thermograms and the advantages compared to current existing systems.
    BibTeX:
    @article{Schramm2021QIRT,
     abstract = {In recent years, due to the availability of affordable 3D sensors and the increased computing power, various methods for the generation of 3D thermograms have been developed. 3D thermal imaging describes the fusion of geometry and temperature data. A well-established approach is the fusion of data from depth and long-wave infrared (LWIR) cameras. However, these models generated in real-time have the limitation that the model size is limited due to inefficient data storage approach. Newer algorithms from Computer Vision promise to overcome this limitation by more efficient data handling and storage. Within this work, three state of the art 3D reconstruction algorithms from the computer vision community are compared and one of these is extended by overlaying thermal data, which allows the creation of large-scale 3D thermograms with a portable 3D measurement system. For this purpose, a geometric calibration is required, the data structure is adapted, and the handling of cyclic non-uniformity corrections required for uncooled LWIR cameras is described. The results will show exemplary 3D thermograms and the advantages compared to current existing systems.},
     author = {Schramm, Sebastian and Osterhold, Phil and Schmoll,
    Robert and Kroll, Andreas},
     doi = {10.1080/17686733.2021.1991746},
     journal = {Quantitative InfraRed Thermography Journal},
     keywords = {3D thermal imaging; sensor data fusion; LWIR; NIR;3D
    reconstruction},
     language = {english},
     mrtnote = {peer, ThermoFusion},
     number = {5},
     pages = {295--311},
     title = {Combining Modern 3D Reconstruction and Thermal Imaging: Generation of Large-Scale 3D Thermograms in Real-Time},
     volume = {19},
     year = {2021}
    }
    
    
    Matthias Himmelsbach, Andreas Kroll On optimal test signal design and parameter identification schemes for dynamic Takagi-Sugeno fuzzy models using the Fisher information matrix 2021 International Journal of Fuzzy Systems, vol. 24, no. 2, pp. 1012-1024  DOI  
    Abstract: This paper is concerned with the analysis of optimization procedures for optimal experiment design for locally affine Takagi-Sugeno (TS) fuzzy models based on the Fisher Information Matrix (FIM). The FIM is used to estimate the covariance matrix of a parameter estimate. It depends on the model parameters as well as the regression variables. Due to the dependency on the model parameters good initial models are required. Since the FIM is a matrix, a scalar measure of the FIM is optimized. Different measures and optimization goals are investigated in three case studies.
    BibTeX:
    @article{2021-Himmelsbach-IJFS,
     abstract = {This paper is concerned with the analysis of optimization procedures for optimal experiment design for locally affine Takagi-Sugeno (TS) fuzzy models based on the Fisher Information Matrix (FIM). The FIM is used to estimate the covariance matrix of a parameter estimate. It depends on the model parameters as well as the regression variables. Due to the dependency on the model parameters good initial models are required. Since the FIM is a matrix, a scalar measure of the FIM is optimized. Different measures and optimization goals are investigated in three case studies.},
     author = {Matthias Himmelsbach and Andreas Kroll},
     doi = {10.1007/s40815-021-01185-9},
     journal = {International Journal of Fuzzy Systems},
     keywords = {Optimal experiment design; Fisher information matrix; Takagi-Sugeno models; Nonlinear system identification},
     language = {english},
     mrtnote = {peer,OED},
     number = {2},
     owner = {gringard},
     pages = {1012--1024},
     timestamp = {2020.12.22},
     title = {On optimal test signal design and parameter identification schemes for dynamic {T}akagi-{S}ugeno fuzzy models using the {F}isher information
    matrix},
     volume = {24},
     year = {2021}
    }
    
    
    Kahl, Matthias, Schramm, Sebastian, Neumann, Max, Kroll, Andreas Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition 2021 Metals, vol. November, no. 12, Multidisciplinary Digital Publishing Institute  DOI , URL  
    BibTeX:
    @article{kahl2021ident2dt,
     article-number = {2050},
     author = {Kahl, Matthias and Schramm, Sebastian and Neumann,
    Max and Kroll, Andreas},
     doi = {10.3390/met11122050},
     issn = {2075-4701},
     journal = {Metals},
     mrtnote = {peer, DigiWerk},
     number = {12},
     publisher = {Multidisciplinary Digital Publishing Institute},
     title = {Identification of a Spatio-Temporal Temperature
    Model for Laser Metal Deposition},
     url = {https://www.mdpi.com/2075-4701/11/12/2050},
     volume = {November},
     year = {2021}
    }
    
    
    J. Rangel, R. Schmoll, A. Kroll Catadioptric Stereo Optical Gas Imaging System for Scene Flow Computation of Gas Structures 2021 IEEE Sensors Journal, vol. 21, no. 5, pp. 6811 - 6820  DOI , URL  
    BibTeX:
    @article{rangel_IEEEsensors_2020,
     author = {J. Rangel and R. Schmoll and A. Kroll},
     doi = {https://doi.org/10.1109/JSEN.2020.3042116},
     issn = {1530-473X},
     journal = {IEEE Sensors Journal},
     mrtnote = {peer,Gas3D},
     number = {5},
     owner = {duerrbaum},
     pages = {6811 -- 6820},
     timestamp = {2020.06.26},
     title = {Catadioptric Stereo Optical Gas Imaging System for Scene Flow Computation of Gas
    Structures},
     url = {https://ieeexplore.ieee.org/document/9277592},
     volume = {21},
     year = {2021}
    }
    
    
    Felix Wittich, Andreas Kroll Evaluation of methods for feasible parameter set estimation of Takagi-Sugeno models for nonlinear regression with bounded errors 2021 at - Automatisierungstechnik, vol. 69, no. 10, pp. 836-847  URL  
    Abstract: In data-driven modeling besides the point estimate of the model parameters, an estimation of the parameter uncertainty is of great interest. For this, bounded error parameter estimation methods can be used. These are particularly interesting for problems where the stochastical properties of the random effects are unknown and cannot be determined. In this paper, different methods for obtaining a feasible parameter set are evaluated for the use with Takagi-Sugeno models. Case studies with simulated data and with measured data from a manufacturing process are presented.
    BibTeX:
    @article{2021-FW-at-BE_TS_Methods,
     abstract = {In data-driven modeling besides the point estimate of the model parameters, an estimation of the parameter uncertainty is of great interest. For this, bounded error parameter estimation methods can be used. These are particularly interesting for problems where the stochastical properties of the random effects are unknown and cannot be determined. In this paper, different methods for obtaining a feasible parameter set are evaluated for the use with Takagi-Sugeno models. Case studies with simulated data and with measured data from a manufacturing process are presented.},
     author = {Felix Wittich and Andreas Kroll},
     journal = {at -- Automatisierungstechnik},
     journaltitle = {Computational Intelligence},
     language = {english},
     mrtnote = {peer,HartDrehen},
     number = {10},
     owner = {wittich},
     pages = {836--847},
     timestamp = {2020.11.06},
     title = {Evaluation of methods for feasible parameter set estimation of Takagi-Sugeno models for nonlinear regression with bounded
    errors},
     url = {https://www.degruyter.com/document/doi/10.1515/auto-2020-0157/html},
     volume = {69},
     year = {2021}
    }
    
    
    Christopher Schott, Felix Wittich, Andreas Kroll, Thomas Niendorf Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear models 2021 Procedia CIRP, vol. 101, pp. 1-4, Sheffield, UK  DOI , URL  
    BibTeX:
    @inproceedings{Schott_CIRP2020,
     address = {Sheffield, UK},
     author = {Christopher Schott and Felix Wittich and Andreas
    Kroll and Thomas Niendorf},
     booktitle = {Procedia CIRP},
     doi = {10.1016/j.procir.2020.10.002},
     language = {english},
     mrtnote = {peer, HartDrehen, 3MA},
     owner = {wittich},
     pages = {1-4},
     timestamp = {2020.02.10},
     title = {Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear
    models},
     url = {https://www.sciencedirect.com/science/article/pii/S2212827121006429},
     volume = {101},
     year = {2021}
    }
    
    
    Andreas Kroll, Jana Fischer Zur approximativen Maximum-Likelihood-Schätzung dynamischer Multi-Modelle vom Typ Takagi-Sugeno: Methodik und Anwendung auf einen Servo-Pneumatikantrieb 2021 at - Automatisierungstechnik, vol. 69, no. 10, pp. 858-869  DOI  
    Abstract: Ist Wissen über die stochastischen Eigenschaften eines dynamischen Prozesses verfügbar, so kann dies zur Verbesserung der Modellparameterschätzung erücksichtigt werden. Dabei trifft die oft gemachte Annahme i.i.d. normalverteilter Zufallsgrößen bei technischen Systemen häufig nicht zu. Im Beitrag werden deshalb die Dichtefunktionen der Zufallsgrößen als Gaußsche Mischmodelle mittels eines Multistart-Expectation-Maximization-Algorithmus geschätzt. Da die Residualdichtefunktionen zu Beginn der Identifikation nicht verfügbar sind, werden diese aus der Streuung von Wiederholexperimenten approximativ ermittelt und zur Maximum-Likelihood-Schätzung von Takagi-Sugeno-Modellen genutzt. Wegen der ausgeprägten Multimodalität der resultierenden Likelihood-Funktion wird dazu Partikelschwarm-Optimierung eingesetzt. Die Vorgehensweise wird an einem industriellen servo-pneumatischen Linearantrieb demonstriert.
    BibTeX:
    @article{2021-Kroll_Fischer-at-Approx_Max_Likelihood_TS_Modelle,
     abstract = {Ist Wissen über die stochastischen Eigenschaften eines dynamischen Prozesses verfügbar, so kann dies zur Verbesserung der Modellparameterschätzung erücksichtigt werden. Dabei trifft die oft gemachte Annahme i.i.d. normalverteilter Zufallsgrößen bei technischen Systemen häufig nicht zu. Im Beitrag werden deshalb die Dichtefunktionen der Zufallsgrößen als Gaußsche Mischmodelle mittels eines Multistart-Expectation-Maximization-Algorithmus geschätzt. Da die Residualdichtefunktionen zu Beginn der Identifikation nicht verfügbar sind, werden diese aus der Streuung von Wiederholexperimenten approximativ ermittelt und zur Maximum-Likelihood-Schätzung von Takagi-Sugeno-Modellen genutzt. Wegen der ausgeprägten Multimodalität der resultierenden Likelihood-Funktion wird dazu Partikelschwarm-Optimierung eingesetzt. Die Vorgehensweise wird an einem industriellen servo-pneumatischen Linearantrieb demonstriert.},
     author = {Andreas Kroll and Jana Fischer},
     doi = {https://doi.org/10.1515/auto-2020-0142},
     journal = {at -- Automatisierungstechnik},
     journaltitle = {Computational Intelligence},
     language = {german},
     mrtnote = {peer,FuzzyIdControl},
     number = {10},
     owner = {duerrbaum},
     pages = {858--869},
     timestamp = {2020.09.11},
     title = {Zur approximativen Maximum-Likelihood-Schätzung dynamischer Multi-Modelle vom Typ Takagi-Sugeno: Methodik und Anwendung auf einen Servo-Pneumatikantrieb},
     volume = {69},
     year = {2021}
    }
    
    
    Sören Dierks, Andreas Kroll Evaluierung von Verfahren zur optischen Bestimmung von Gasgeschwindigkeiten 2020 TM - Technisches Messen, vol. 87, no. 1, pp. 66-77  DOI , URL  
    Abstract: In diesem Beitrag werden verschiedene Verfahren zur Bestimmung des optischen Flusses auf ihre Eignung zur Bestimmung von Gasgeschwindigkeiten hin untersucht. Dazu werden die Verfahren auf Differenzbilder einer sogenannten Gaskamera angewandt, um eine mittlere Gasgeschwindigkeit zu bestimmen. Mit einem Prüfstand im Laborumfeld werden die Verfahrencharakterisiert und abschließend wird die Messunsicherheita bgeschätzt.
    BibTeX:
    @article{2020-SD-TM-Eval_Gasgeschwindigkeit,
     abstract = {In diesem Beitrag werden verschiedene Verfahren zur Bestimmung des optischen Flusses auf ihre Eignung zur Bestimmung von Gasgeschwindigkeiten hin untersucht. Dazu werden die Verfahren auf Differenzbilder einer sogenannten Gaskamera angewandt, um eine mittlere Gasgeschwindigkeit zu bestimmen. Mit einem Prüfstand im Laborumfeld werden die Verfahrencharakterisiert und abschließend wird die Messunsicherheita bgeschätzt.},
     author = {Sören Dierks and Andreas Kroll},
     date = {2019-12-11},
     doi = {10.1515/teme-2019-0078},
     journal = {TM -- Technisches Messen},
     language = {german},
     mrtnote = {peer,Biogas},
     number = {1},
     owner = {duerrbaum},
     pages = {66--77},
     timestamp = {2019.06.03},
     title = {Evaluierung von Verfahren zur optischen Bestimmung
    von Gasgeschwindigkeiten},
     url = {https://www.degruyter.com/view/j/teme.ahead-of-print/teme-2019-0078/teme-2019-0078.xml},
     volume = {87},
     year = {2020}
    }
    
    
    Matthias Kahl, Andreas Kroll Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models 2020 IFAC-PapersOnLine, 21th IFAC World Congress, vol. 53, no. 2, pp. 1182-1187, Elsevier, Berlin, Germany, IFAC   
    Abstract: In this paper, the problem of order selection for nonlinear dynamical Takagi-Sugeno (TS) fuzzy models is adressed. It is solved by reformulating the TS model in its Linear Parameter Varying (LPV) form and applying an extension of a recently proposed Regularized Least Squares Support Vector Machine (R-LSSVM) technique for LPV models. For that, a nonparametric formulation of the TS identi cation problem is proposed which uses data-dependent basis functions. By doing so, the partition of unity of the TS model is preserved and the scheduling dependencies of the model are obtained in a nonparametric manner. For the local order selection, a regularization approach is used which forces the coeffcient functions of insignifcant values of the lagged input and output towards zero.
    BibTeX:
    @inproceedings{Kahl-IFAC-2020,
     abstract = {In this paper, the problem of order selection for nonlinear dynamical Takagi-Sugeno (TS) fuzzy models is adressed. It is solved by reformulating the TS model in its Linear Parameter Varying (LPV) form and applying an extension of a recently proposed Regularized Least Squares Support Vector Machine (R-LSSVM) technique for LPV models. For that, a nonparametric formulation of the TS identi cation problem is proposed which uses data-dependent basis functions. By doing so, the partition of unity of the TS model is preserved and the scheduling dependencies of the model are obtained in a nonparametric manner. For the local order selection, a regularization approach is used which forces the coeffcient functions of insignifcant values of the lagged input and output towards zero.},
     address = {Berlin, Germany},
     author = {Matthias Kahl and Andreas Kroll},
     booktitle = {21th IFAC World Congress},
     journal = {IFAC-PapersOnLine},
     language = {english},
     mrtnote = {peer,SFS_TS},
     number = {2},
     organization = {IFAC},
     owner = {duerrbaum},
     pages = {1182--1187},
     publisher = {Elsevier},
     timestamp = {2019.11.25},
     title = {Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno
    Models},
     volume = {53},
     year = {2020}
    }
    
    
    Matthias Gringard, Andreas Kroll On considering the output in space-filling test signal designs for the identification of dynamic Takagi-Sugeno models 2020 21st IFAC World Congress, vol. 53, no. 2, pp. 1200-1205, Elsevier, Berlin, Germany, IFAC, 12-17. July  URL  
    Abstract: In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.
    BibTeX:
    @inproceedings{GringardIFAC2020,
     abstract = {In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.},
     address = {Berlin, Germany},
     author = {Matthias Gringard and Andreas Kroll},
     booktitle = {21st IFAC World Congress},
     language = {english},
     month = {12-17. July},
     mrtnote = {peer,OED},
     number = {2},
     organization = {IFAC},
     owner = {gringard},
     pages = {1200-1205},
     publisher = {Elsevier},
     timestamp = {2017.12.13},
     title = {On considering the output in space-filling test signal designs for the identification of dynamic {T}akagi-{S}ugeno
    models},
     url = {https://www.ifac2020.org/},
     volume = {53},
     year = {2020}
    }
    
    
    J. Rangel, R. Schmoll, A. Kroll On Scene Flow Computation of Gas Structures with Optical Gas Imaging Cameras 2020 IEEE Winter Conference on Applications of Computer Vision (WACV 2020), pp. 174-182, Snowmass Village, Colorado, USA, 2.-5. März  DOI , URL  
    BibTeX:
    @inproceedings{Rangel2020,
     address = {Snowmass Village, Colorado, USA},
     author = {J. Rangel and R. Schmoll and A. Kroll},
     booktitle = {IEEE Winter Conference on Applications of Computer
    Vision (WACV 2020)},
     doi = {10.1109/WACV45572.2020.9093630},
     isbn = {978-1-7281-6554-7},
     month = {2.-5. März},
     mrtnote = {peer,Gas3D},
     owner = {duerrbaum},
     pages = {174-182},
     timestamp = {2019.08.06},
     title = {On Scene Flow Computation of Gas Structures with
    Optical Gas Imaging Cameras},
     url = {https://ieeexplore.ieee.org/document/9093630},
     year = {2020}
    }
    
    
    Felix Wittich, Lars Kistner, Andreas Kroll, Christopher Schott, Thomas Niendorf On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard turning 2020 tm - Technisches Messen, vol. 87, pp. 732-741  DOI , URL  
    Abstract: In this article, two data-driven modeling approaches are investigated, which allow an explicit modeling of uncertainty. For this purpose, parametric Takagi-Sugeno multi-models with bounded-error parameter estimation and nonparametric Gaussian process regression are applied and compared. These models can for instance be used for robust model-based control design. As an application, the prediction of residual stresses during hard turning depending on the machining parameters and the initial hardness is considered.
    BibTeX:
    @article{2020-FW-TM-BE_GPR_HardTurning,
     abstract = {In this article, two data-driven modeling approaches are investigated, which allow an explicit modeling of uncertainty. For this purpose, parametric Takagi-Sugeno multi-models with bounded-error parameter estimation and nonparametric Gaussian process regression are applied and compared. These models can for instance be used for robust model-based control design. As an application, the prediction of residual stresses during hard turning depending on the machining parameters and the initial hardness is considered.},
     author = {Felix Wittich and Lars Kistner and Andreas Kroll and Christopher Schott and Thomas
    Niendorf},
     doi = {10.1515/teme-2020-0057},
     journal = {tm -- Technisches Messen},
     language = {english},
     mrtnote = {peer,HartDrehen},
     owner = {wittich},
     pages = {732-741},
     timestamp = {2020.10.16},
     title = {On data-driven nonlinear uncertainty modeling: Methods and application for control-oriented surface condition prediction in hard
    turning},
     url = {https://doi.org/10.1515/teme-2020-0057},
     volume = {87},
     year = {2020}
    }
    
    
    David Arengas, Andreas Kroll Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants 2020 at - Automatisierungstechnik, vol. 68, no. 5, pp. 347-359  DOI , URL  
    BibTeX:
    @article{Arengas_at2020,
     author = {David Arengas and Andreas Kroll},
     doi = {10.1515/auto-2019-0055},
     journal = {at -- Automatisierungstechnik},
     mrtnote = {peer,DS4SID,Search4UI},
     number = {5},
     owner = {arengas},
     pages = {347--359},
     timestamp = {2017.12.13},
     title = {Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants},
     url = {https://www.degruyter.com/view/journals/auto/68/5/article-p347.xml},
     volume = {68},
     year = {2020}
    }
    
    
    Alexander Rehmer, Andreas Kroll On the vanishing and exploding gradient problem in Gated Recurrent Units 2020 IFAC-PapersOnLine, 21th IFAC World Congress, vol. 53, no. 2, pp. 1243-1248, Elsevier, Berlin, Germany, IFAC, 12.-17- July   
    Abstract: Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.
    BibTeX:
    @inproceedings{Rehmer-IFAC-2020,
     abstract = {Recurrent Neural Networks are applied in areas such as speech recognition, natural language and video processing, and the identification of nonlinear state space models. Conventional Recurrent Neural Networks, e.g. the Elman Network, are hard to train. A more recently developed class of recurrent neural networks, so-called Gated Units, outperform their counterparts on virtually every task. This paper aims to provide additional insights into the differences between RNNs and Gated Units in order to explain the superior perfomance of gated recurrent units. It is argued, that Gated Units are easier to optimize not because they solve the vanishing gradient problem, but because they circumvent the emergence of large local gradients.},
     address = {Berlin, Germany},
     author = {Alexander Rehmer and Andreas Kroll},
     booktitle = {21th IFAC World Congress},
     journal = {IFAC-PapersOnLine},
     language = {english},
     month = {12.-17- July},
     mrtnote = {peer,IdRNN},
     number = {2},
     organization = {IFAC},
     owner = {rehmer},
     pages = {1243--1248},
     publisher = {Elsevier},
     timestamp = {2019.11.25},
     title = {On the vanishing and exploding gradient problem in
    Gated Recurrent Units},
     volume = {53},
     year = {2020}
    }
    
    
    Sebastian Schramm, Robert Schmoll, Andreas Kroll Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods 2019 13th International Conference on Sensing Technology (ICST), Sydney, Australia, 2.-4. Dezember  DOI , URL  
    BibTeX:
    @inproceedings{SS_ICST2019,
     address = {Sydney, Australia},
     author = {Sebastian Schramm and Robert Schmoll and Andreas
    Kroll},
     booktitle = {13th International Conference on Sensing Technology
    (ICST)},
     doi = {10.1109/ICST46873.2019.9047669},
     language = {english},
     month = {2.-4. Dezember},
     mrtnote = {peer,ThermoFusion},
     owner = {schramm},
     timestamp = {2017.11.14},
     title = {Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing
    Methods},
     url = {https://ieeexplore.ieee.org/document/9047669},
     year = {2019}
    }
    
    
    Matthias Gringard, Andreas Kroll Zur Homogenisierung von Testsignalen für die nichtlineare Systemidentifikation 2019 at - Automatisierungstechnik, vol. 67, no. 10, pp. 820-832   
    BibTeX:
    @article{GringardAT2019,
     author = {Matthias Gringard and Andreas Kroll},
     journal = {at -- Automatisierungstechnik},
     mrtnote = {peer,OED},
     number = {10},
     owner = {gringard},
     pages = {820--832},
     timestamp = {2017.12.13},
     title = {Zur Homogenisierung von Testsignalen für die
    nichtlineare Systemidentifikation},
     volume = {67},
     year = {2019}
    }
    
    
    Felix Wittich, Matthias Kahl, Andreas Kroll, Wolfgang Zinn, Thomas Niendorf On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), pp. 3235 - 3240, Bari, Italy, IEEE, 06.-09. October  DOI , URL  
    BibTeX:
    @inproceedings{WittichSMC2019,
     address = {Bari, Italy},
     author = {Felix Wittich and Matthias Kahl and Andreas Kroll and Wolfgang Zinn and Thomas
    Niendorf},
     booktitle = {IEEE International Conference on Systems, Man, and
    Cybernetics (SMC 2019)},
     doi = {10.1109/SMC.2019.8914272},
     month = {06.-09. October},
     mrtnote = {peer,HartDrehen},
     organization = {IEEE},
     owner = {wittich},
     pages = {3235 -- 3240},
     timestamp = {2017.08.31},
     title = {On Nonlinear Empirical Modeling of Residual Stress
    Profiles in Hard Turning},
     url = {https://doi.org/10.1109/SMC.2019.8914272},
     year = {2019}
    }
    
    
    David Arengas, Andreas Kroll A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental Variables 2019 Proceedings of the 2019 European Control Conference (ECC), pp. 357-362, Naples, Italy, IFAC, 25.-28. Juni  DOI , URL  
    Abstract: Experiments to collect data for system identification in industrial plants are constrained due to production and safety requirements. In such situations, logged historical data can be used for system identification instead. However, these recorded data are predominantly stationary in continuously operated plants since processes are seldom excited during normal operation. Performing system identification with such data will yield numerical problems. Alternately, the "most" informative sequences can be extracted and used for system identification. Current data selection methods have several drawbacks. They are constrained to Single-Input Single-Output (SISO) modeling problems. The methods are not robust against correlated noise which is a disadvantage when using real data sets. Moreover, setting design parameters requires some information about the process that is not always available. In this contribution, an alternative data selection method for system identification is presented and evaluated in a case study. In contrast to current approaches, the proposed method does not require data normalization to detect transient changes. It can be used in Multi-Input Single-Output (MISO) systems operating in open or closed loop. An instrumental variables (IV) method is used in the algorithm which provides robustness against non-white noise. Results from a simulation case study of a multivariable system show that models with similar accuracy are obtained when using the intervals retrieved by the data selection method as when using the entire data set.
    BibTeX:
    @inproceedings{ArengasECC2019,
     abstract = {Experiments to collect data for system identification in industrial plants are constrained due to production and safety requirements. In such situations, logged historical data can be used for system identification instead. However, these recorded data are predominantly stationary in continuously operated plants since processes are seldom excited during normal operation. Performing system identification with such data will yield numerical problems. Alternately, the "most" informative sequences can be extracted and used for system identification. Current data selection methods have several drawbacks. They are constrained to Single-Input Single-Output (SISO) modeling problems. The methods are not robust against correlated noise which is a disadvantage when using real data sets. Moreover, setting design parameters requires some information about the process that is not always available. In this contribution, an alternative data selection method for system identification is presented and evaluated in a case study. In contrast to current approaches, the proposed method does not require data normalization to detect transient changes. It can be used in Multi-Input Single-Output (MISO) systems operating in open or closed loop. An instrumental variables (IV) method is used in the algorithm which provides robustness against non-white noise. Results from a simulation case study of a multivariable system show that models with similar accuracy are obtained when using the intervals retrieved by the data selection method as when using the entire data set.},
     address = {Naples, Italy},
     author = {David Arengas and Andreas Kroll},
     booktitle = {Proceedings of the 2019 European Control Conference
    (ECC)},
     doi = {10.23919/ECC.2019.8796086},
     keywords = {Time-series analysis, multivariable system identification, instrumental variables, instrumental product moment matrix, information matrix, change detection},
     language = {english},
     month = {25.-28. Juni},
     mrtnote = {peer,Search4UI},
     organization = {IFAC},
     owner = {arengas},
     pages = {357--362},
     timestamp = {2018.11.14},
     title = {A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental
    Variables},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019},
     year = {2019}
    }
    
    
    Alexander Rehmer, Andreas Kroll On Using Gated Recurrent Units for Nonlinear System Identification 2019 Preprints of the 18th European Control Conference (ECC), pp. 2504-2509, Naples, Italy, IFAC, 25.-28. Juni  URL  
    Abstract: This paper is concerned with the test signal design for the identification of the partition parameters of locally affine Takagi-Sugeno-(TS-)Models. The basic idea is that data should be generated in local model transition areas in the scheduling space. A reference system output that represents the desired path in the scheduling space is forced upon the underlying system through a combination of a feed-forward and feedback control scheme. The system is then identified in an iterative closed-loop identification procedure. This method has been applied to an artificial system to demonstrate its potential.
    BibTeX:
    @inproceedings{RehmerECC2019,
     abstract = {This paper is concerned with the test signal design for the identification of the partition parameters of locally affine Takagi-Sugeno-(TS-)Models. The basic idea is that data should be generated in local model transition areas in the scheduling space. A reference system output that represents the desired path in the scheduling space is forced upon the underlying system through a combination of a feed-forward and feedback control scheme. The system is then identified in an iterative closed-loop identification procedure. This method has been applied to an artificial system to demonstrate its potential.},
     address = {Naples, Italy},
     author = {Alexander Rehmer and Andreas Kroll},
     booktitle = {Preprints of the 18th European Control Conference
    (ECC)},
     month = {25.-28. Juni},
     mrtnote = {peer,IdRNN},
     organization = {IFAC},
     owner = {rehmer},
     pages = {2504-2509},
     timestamp = {2018.11.14},
     title = {On Using Gated Recurrent Units for Nonlinear System
    Identification},
     url = {https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019},
     year = {2019}
    }
    
    
    Sören Dierks, Andreas Kroll Experimental Characterization of a Tuneable Diode Laser Absorption Spectroscopy Based Sensor 2018 IEEE Sensors Applications Symposium (SAS), Seoul, Korea, 12.-14. März   
    BibTeX:
    @inproceedings{DierksSAS2018,
     address = {Seoul, Korea},
     author = {Sören Dierks and Andreas Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     language = {english},
     month = {12.-14. März},
     mrtnote = {peer,BioGas},
     owner = {dierks},
     timestamp = {2017.11.14},
     title = {Experimental Characterization of a Tuneable Diode Laser Absorption Spectroscopy Based
    Sensor},
     year = {2018}
    }
    
    
    Sebastian Schramm, Johannes Rangel, Andreas Kroll Data Fusion for 3D Thermal Imaging Using Depth and Stereo Camera for Robust Self-localization 2018 IEEE Sensors Applications Symposium (SAS), Seoul, Korea, 12.-14. März  DOI , URL  
    BibTeX:
    @inproceedings{SS_SAS2018,
     address = {Seoul, Korea},
     author = {Sebastian Schramm and Johannes Rangel and Andreas
    Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     doi = {https://doi.org/10.1109/SAS.2018.8336740},
     language = {english},
     month = {12.-14. März},
     mrtnote = {peer,ThermoFusion},
     owner = {schramm},
     timestamp = {2017.11.14},
     title = {Data Fusion for 3D Thermal Imaging Using Depth and Stereo Camera for Robust
    Self-localization},
     url = {https://ieeexplore.ieee.org/document/8336740/},
     year = {2018}
    }
    
    
    Matthias Gringard, Andreas Kroll Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty 2018 18th IFAC Symposium on System Identification, Stockholm, Sweden, IFAC, 09-11. July  URL  
    Abstract: In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.
    BibTeX:
    @inproceedings{GringardSYSID2018,
     abstract = {In this contribution the optimal experiment design for the identification of linear affine Takagi-Sugeno (TS) models is discussed. The parameters of these models can be separated into local model and partition parameters which also allows for a separation of the design. The presented optimal design is based on the Fisher Information Matrix (FIM) and its objective is to minimize the parameter estimation uncertainty. In this contribution parameters of a standard test signal type (multi-step) are optimized to achieve this objective. The effectivity of FIM-based designs for nonlinear models depends on initial identification including structural decisions. The general functionality of the presented method is demonstrated on a case study.},
     address = {Stockholm, Sweden},
     author = {Matthias Gringard and Andreas Kroll},
     booktitle = {18th IFAC Symposium on System Identification},
     month = {09-11. July},
     mrtnote = {peer,OED},
     organization = {IFAC},
     owner = {gringard},
     timestamp = {2017.12.13},
     title = {Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty},
     url = {https://www.ifac-control.org/events/system-identification-18th-sysid-2018},
     year = {2018}
    }
    
    
    Kahl, Matthias, Kroll, Andreas Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques 2018 Archives of Data Science, Series A (Online First), vol. 5, no. 1, pp. A19, 17 S. online  DOI  
    BibTeX:
    @article{ECDA2018_full,
     author = {Kahl, Matthias and Kroll, Andreas},
     doi = {10.5445/KSP/1000087327/19},
     issn = {2363-9881},
     journal = {Archives of Data Science, Series A (Online First)},
     language = {english},
     mrtnote = {peer,SFS_TS},
     number = {1},
     pages = {A19, 17 S. online},
     title = {Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV
    Techniques},
     volume = {5},
     year = {2018}
    }
    
    
    Johannes Rangel, Andreas Kroll Characterization and Calibration of a Stereo Gas Camera System for Obtaining Spatial Information of Gas Structures 2018 IEEE Sensors Applications Symposium (SAS), Seoul, Korea, 12.-14. März   
    BibTeX:
    @inproceedings{JR_SAS_2018,
     address = {Seoul, Korea},
     author = {Johannes Rangel and Andreas Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     month = {12.-14. März},
     mrtnote = {peer,Gas3D},
     owner = {rangel},
     timestamp = {2017.11.14},
     title = {Characterization and Calibration of a Stereo Gas Camera System for Obtaining Spatial Information of Gas
    Structures},
     year = {2018}
    }
    
    
    Johannes Rangel, Andreas Kroll On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera System 2018 International Conference on Sensing Technology (ICST), Limerick, Ireland, 3.-6. Dezember   
    BibTeX:
    @inproceedings{JR_ICST_2018,
     address = {Limerick, Ireland},
     author = {Johannes Rangel and Andreas Kroll},
     booktitle = {International Conference on Sensing Technology
    (ICST)},
     month = {3.-6. Dezember},
     mrtnote = {peer,Gas3D},
     owner = {rangel},
     timestamp = {2018.07.12},
     title = {On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera
    System},
     year = {2018}
    }
    
    
    David Arengas, Andreas Kroll Removal of Insufficiently Informative Data to Support System Identification in MISO Processes 2018 Proceedings of the 17th European Control Conference (ECC), pp. 2842-2847, Limassol, Cyprus, European Control Association (EUCA), June 12 - 15   
    BibTeX:
    @inproceedings{Arengas2018ECC,
     address = {Limassol, Cyprus},
     author = {David Arengas and Andreas Kroll},
     booktitle = {Proceedings of the 17th {European Control
    Conference} ({ECC})},
     language = {english},
     month = {June 12 -- 15},
     mrtnote = {FuzzyIdControl,peer,Search4UI},
     organization = {European Control Association (EUCA)},
     owner = {duerrbaum},
     pages = {2842--2847},
     timestamp = {2015.02.20},
     title = {Removal of Insufficiently Informative Data to Support System Identification in MISO
    Processes},
     year = {2018}
    }
    
    
    Sören Dierks, Andreas Kroll Quantification of Methane Gas Leakages using Remote Sensing and Sensor Data Fusion 2017 IEEE Sensors Applications Symposium (SAS), Glassboro, USA, 13.-15. März  DOI , URL  
    BibTeX:
    @inproceedings{DierksSAS2017,
     address = {Glassboro, USA},
     author = {Sören Dierks and Andreas Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     doi = {10.1109/SAS.2017.7894047},
     language = {english},
     month = {13.-15. März},
     mrtnote = {peer,BioGas},
     owner = {dierks},
     timestamp = {2016.11.14},
     title = {Quantification of Methane Gas Leakages using Remote Sensing and Sensor Data
    Fusion},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7894047},
     year = {2017}
    }
    
    
    Salman Zaidi, Andreas Kroll NOE TS Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued data 2017 Applied Soft Computing, vol. 57, pp. 353-362  DOI , URL  
    Abstract: An approach to Nonlinear Output Error (NOE) modelling using Takagi - Sugeno (TS) fuzzy model for a class of nonlinear dynamic systems having variability in their outputs is presented. Furthermore, the approach is compared and graphically illustrated with other alternate approaches on the basis of interval data and interval membership functions. Assuming the identification method can be repeated offline a number of times under similar conditions, multiple input - output time series can be obtained from the underlying system. These time series are pre-processed using the techniques of statistics and probability theory to generate the envelopes of response (curves outlining the upper and lower extremes of response) at each time instant. Two types of envelopes are described in this research: the max - min envelopes and the envelopes based on the confidence intervals provided by extended Chebyshev's inequality. By incorporating interval data in fuzzy modelling and using the theory of symbolic interval-valued data, a TS fuzzy model with interval antecedent and consequent parameters is obtained. This algorithm provides a model for predicting the expected response as well as envelopes. In order to validate the presented model, a simulation case study is devised in this paper. Moreover, it is demonstrated on the real data obtained from an electro-mechanical throttle valve.
    BibTeX:
    @article{Zaidi-ASC-2016,
     abstract = {An approach to Nonlinear Output Error (NOE) modelling using Takagi - Sugeno (TS) fuzzy model for a class of nonlinear dynamic systems having variability in their outputs is presented. Furthermore, the approach is compared and graphically illustrated with other alternate approaches on the basis of interval data and interval membership functions. Assuming the identification method can be repeated offline a number of times under similar conditions, multiple input - output time series can be obtained from the underlying system. These time series are pre-processed using the techniques of statistics and probability theory to generate the envelopes of response (curves outlining the upper and lower extremes of response) at each time instant. Two types of envelopes are described in this research: the max - min envelopes and the envelopes based on the confidence intervals provided by extended Chebyshev's inequality. By incorporating interval data in fuzzy modelling and using the theory of symbolic interval-valued data, a TS fuzzy model with interval antecedent and consequent parameters is obtained. This algorithm provides a model for predicting the expected response as well as envelopes. In order to validate the presented model, a simulation case study is devised in this paper. Moreover, it is demonstrated on the real data obtained from an electro-mechanical throttle valve.},
     author = {Salman Zaidi and Andreas Kroll},
     doi = {https://dx.doi.org/10.1016/j.asoc.2017.04.004},
     journal = {Applied Soft Computing},
     language = {english},
     mrtnote = {FuzzyT2,peer},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Zaidi-ASC-NOE_TS.pdf},
     owner = {salman},
     pages = {353-362},
     timestamp = {2016.05.03},
     title = {{NOE} {TS} Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued
    data},
     url = {https://www.sciencedirect.com/science/article/pii/S1568494617301758},
     volume = {57},
     year = {2017}
    }
    
    
    Johannes Rangel, Andreas Kroll Characterization and Evaluation of Spatial Jitter's Influence on the Intrinsic Geometric Calibration of an Infrared Camera for Gas Visualization 2017 IEEE Sensors Applications Symposium (SAS), Glassboro, USA, 13.-15. März   
    BibTeX:
    @inproceedings{JR_SAS2017,
     address = {Glassboro, USA},
     author = {Johannes Rangel and Andreas Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     month = {13.-15. März},
     mrtnote = {peer,Gas3D},
     owner = {rangel},
     timestamp = {2016.11.16},
     title = {Characterization and Evaluation of Spatial Jitter's Influence on the Intrinsic Geometric Calibration of an Infrared Camera for Gas
    Visualization},
     year = {2017}
    }
    
    
    David Arengas, Andreas Kroll A Search Method for Selecting Informative Data in Predominantly Stationary Historical Records for Multivariable Systems 2017 Proceedings of the 21st International Conference on System Theory Control and Computing ICSTCC 2017, pp. 100 - 105, Sinaia, Romania, October 19-21  URL  
    BibTeX:
    @inproceedings{Arengas2017b,
     address = {Sinaia, Romania},
     author = {David Arengas and Andreas Kroll},
     booktitle = {Proceedings of the 21st International Conference on System Theory
    Control and Computing ICSTCC
    2017},
     month = {October 19-21},
     mrtnote = {peer,FEE,Search4UI},
     owner = {duerrbaum},
     pages = {100 -- 105},
     timestamp = {2016.11.02},
     title = {A {S}earch {M}ethod for {S}electing {I}nformative {D}ata in {P}redominantly {S}tationary {H}istorical {R}ecords for {M}ultivariable
    {S}ystems},
     url = {https://ieeexplore.ieee.org/document/8107018/},
     year = {2017}
    }
    
    
    David Arengas, Andreas Kroll Searching for Informative Intervals in Predominantly Stationary Data Records to Support System Identification 2017 Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017, pp. 132 - 137, Sarajevo, Bosnia \& Herzegovina, October 26-28  URL  
    BibTeX:
    @inproceedings{Arengas2017,
     address = {Sarajevo, Bosnia \& Herzegovina},
     author = {David Arengas and Andreas Kroll},
     booktitle = {Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT
    2017},
     month = {October 26-28},
     mrtnote = {peer,FEE,Search4UI},
     owner = {duerrbaum},
     pages = {132 -- 137},
     timestamp = {2016.11.02},
     title = {Searching for {I}nformative {I}ntervals in {P}redominantly {S}tationary {D}ata {R}ecords to {S}upport {S}ystem
    {I}dentification},
     url = {https://ieeexplore.ieee.org/document/8171617/},
     year = {2017}
    }
    
    
    Andreas Kroll, Axel Dürrbaum, David Arengas, Hassan Al Mawla, Lars Kistner, Alexander Rehmer µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene Systeme 2017 atp edition, vol. 59, no. 9, pp. 40-53, September  URL  
    Abstract: Modellfabriken werden mittlerweile häufig in Forschung und Lehre eingesetzt, aber über ihren Aufbau und ihre Funktionen ist wenig zu lesen. Im Beitrag wird eine Übersicht über in Deuschland vorhandene Modellfabriken gegeben. Zudem werden Details der selbst konzipierten und realisierten Modellfabrik µPlant vorgestellt. Diese besteht aus mehreren mit Transportrobotern verbundenen Produktionsinseln/-zellen, die jeweils lokal über angepasste Automatisierungssysteme verfügen. Alle Module sind stofflich und informationstechnisch integriert und die Modellfabrik kann voll automatisiert betrieben werden. Der Beitrag richtet sich an Personen mit Interesse an Aufbau, Beschaffung oder Nutzung von Modellfabriken
    BibTeX:
    @article{2017-Kroll_et_al-atp_edition-Modellfabrik_muPlant,
     abstract = {Modellfabriken werden mittlerweile häufig in Forschung und Lehre eingesetzt, aber über ihren Aufbau und ihre Funktionen ist wenig zu lesen. Im Beitrag wird eine Übersicht über in Deuschland vorhandene Modellfabriken gegeben. Zudem werden Details der selbst konzipierten und realisierten Modellfabrik µPlant vorgestellt. Diese besteht aus mehreren mit Transportrobotern verbundenen Produktionsinseln/-zellen, die jeweils lokal über angepasste Automatisierungssysteme verfügen. Alle Module sind stofflich und informationstechnisch integriert und die Modellfabrik kann voll automatisiert betrieben werden. Der Beitrag richtet sich an Personen mit Interesse an Aufbau, Beschaffung oder Nutzung von Modellfabriken},
     author = {Andreas Kroll AND Axel Dürrbaum AND David Arengas AND Hassan {Al Mawla} AND Lars Kistner AND Alexander Rehmer},
     journal = {atp edition},
     keywords = {Modellfabrik, Modularisierung, dezentrale
    Automation},
     language = {german},
     month = {September},
     mrtnote = {peer, muPlant, FEE},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Kroll-atp-Modellfabrik_muPlant-PUB.pdf},
     number = {9},
     owner = {duerrbaum},
     pages = {40-53},
     timestamp = {2017.08.15},
     title = {µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene
    Systeme},
     url = {https://www.di-verlag.de/de/Zeitschriften/atp-edition/2017/09/Plant:-Modellfabrik-fuer-vernetzte-heterogene-Anlagen},
     volume = {59},
     year = {2017}
    }
    
    
    Andreas Kroll, Axel Dürrbaum On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: nonlinear regression case 2017 Applied Soft Computing, vol. 60, pp. 407 - 422  DOI , URL  
    Abstract: Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-the-parameters. In case of experiment design to identify nonlinear Takagi-Sugeno (TS) models, non-model-based approaches or OED restricted to the local model parameters (assuming the partitioning to be given) have been proposed. In this article, a Fisher Information Matrix (FIM) based OED method is proposed that considers local model and partition parameters. Due to the nonlinear model, the FIM depends on the model parameters that are subject of the subsequent identification. To resolve this paradoxical situation, at first a model-free space filling design (such as Latin Hypercube Sampling) is carried out. The collected data permits making design decisions such as determining the number of local models and identifying the parameters of an initial TS model. This initial TS model permits a FIM-based OED, such that data is collected which is optimal for a TS model. The estimates of this first stage will in general not be ideal. To become robust against parameter mismatch, a sequential optimal design is applied. In this work the focus is on D-optimal designs. The proposed method is demonstrated for three nonlinear regression problems: an industrial axial compressor and two test functions.
    BibTeX:
    @article{2017-Kroll_Duerrbaum-ASOC-OED,
     abstract = {Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-the-parameters. In case of experiment design to identify nonlinear Takagi-Sugeno (TS) models, non-model-based approaches or OED restricted to the local model parameters (assuming the partitioning to be given) have been proposed. In this article, a Fisher Information Matrix (FIM) based OED method is proposed that considers local model and partition parameters. Due to the nonlinear model, the FIM depends on the model parameters that are subject of the subsequent identification. To resolve this paradoxical situation, at first a model-free space filling design (such as Latin Hypercube Sampling) is carried out. The collected data permits making design decisions such as determining the number of local models and identifying the parameters of an initial TS model. This initial TS model permits a FIM-based OED, such that data is collected which is optimal for a TS model. The estimates of this first stage will in general not be ideal. To become robust against parameter mismatch, a sequential optimal design is applied. In this work the focus is on D-optimal designs. The proposed method is demonstrated for three nonlinear regression problems: an industrial axial compressor and two test functions.},
     author = {Andreas Kroll AND Axel Dürrbaum},
     doi = {10.1016/j.asoc.2017.07.015},
     journal = {Applied Soft Computing},
     keywords = {Takagi-Sugeno fuzzy models; optimal experiment design; design of experiments, nonlinear regression; nonlinear system
    identification},
     language = {english},
     mrtnote = {peer,OED},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2017-Kroll_Duerrbaum-ASoC-OED-submitted-PUB.pdf},
     owner = {duerrbaum},
     pages = {407 -- 422},
     timestamp = {2017.07.10},
     title = {On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: nonlinear regression
    case},
     url = {https://reader.elsevier.com/reader/sd/pii/S1568494617304246},
     volume = {60},
     year = {2017}
    }
    
    
    Alexander Schrodt, Andreas Kroll On Iterative Closed-Loop Identification Using Affine Takagi-Sugeno Models and Controllers 2017 International Journal of Fuzzy Systems, vol. 19, no. 6, pp. 1978-1988  DOI , URL  
    Abstract: Often models are used for controller design that was identified under the objective to well approximate the system under study. In this paper, a scheme for identifying discrete-time locally affine Takagi - Sugeno (TS) models is presented, which better reflects the dedicated model use for designing a TS controller. For this purpose, after an initial open-loop experiment and controller design step, additional experiments are carried out in closed loop, each followed by an identification and controller design step. The deployed TS controllers are of parallel distributed compensator type but augmented by parallel drift and steady-state error compensation. The focus in this work is on a complete method that is simple and usable for real-world applications. To illustrate the practicality of the method, it is demonstrated on a laboratory-scale three-tank system.
    BibTeX:
    @article{2016-AS_AK_-IJFS-TSController,
     abstract = {Often models are used for controller design that was identified under the objective to well approximate the system under study. In this paper, a scheme for identifying discrete-time locally affine Takagi - Sugeno (TS) models is presented, which better reflects the dedicated model use for designing a TS controller. For this purpose, after an initial open-loop experiment and controller design step, additional experiments are carried out in closed loop, each followed by an identification and controller design step. The deployed TS controllers are of parallel distributed compensator type but augmented by parallel drift and steady-state error compensation. The focus in this work is on a complete method that is simple and usable for real-world applications. To illustrate the practicality of the method, it is demonstrated on a laboratory-scale three-tank system.},
     author = {Alexander Schrodt and Andreas Kroll},
     doi = {10.1007/s40815-016-0290-x},
     journal = {International Journal of Fuzzy Systems},
     keywords = {Nonlinear controlI, dentification for control, Fuzzy
    systems},
     language = {english},
     mrtnote = {FuzzyIdControl,peer},
     number = {6},
     owner = {duerrbaum},
     pages = {1978-1988},
     timestamp = {2016.09.12},
     title = {On Iterative Closed-Loop Identification Using Affine Takagi-Sugeno Models and
    Controllers},
     url = {https://link.springer.com/article/10.1007/s40815-016-0290-x},
     volume = {19},
     year = {2017}
    }
    
    
    Alexander Rehmer, Andreas Kroll An extension to RPCA parameter selection and process monitoring 2017 Proceedings of the 20th IFAC World Congress, pp. 15329-15334, IFAC   
    Abstract: Multivariate Statistical Process Control (MSPC) techniques such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have found wide application especially in the statistical modeling and monitoring of chemical processes. However, real industrial processes often violate the assumptions underlying MSPC since they exhibit timevarying and non-stationary behavior. Adaptive PCA-based monitoring procedures such as Moving Window PCA (MWPCA) and Recursive PCA (RPCA) have been proposed to tackle this issue. Although the parameter selection for those procedures is critical to their proper implementation, this topic is rarely covered in the literature. This paper examines two methods for MWPCA and RPCA parameter selection using the Tennessee Eastman process as an example. Based on the findings a novel procedure for RPCA parameter selection as well as a extension to RPCA will be proposed and demonstrated.
    BibTeX:
    @inproceedings{RehmerIFAC2017,
     abstract = {Multivariate Statistical Process Control (MSPC) techniques such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have found wide application especially in the statistical modeling and monitoring of chemical processes. However, real industrial processes often violate the assumptions underlying MSPC since they exhibit timevarying and non-stationary behavior. Adaptive PCA-based monitoring procedures such as Moving Window PCA (MWPCA) and Recursive PCA (RPCA) have been proposed to tackle this issue. Although the parameter selection for those procedures is critical to their proper implementation, this topic is rarely covered in the literature. This paper examines two methods for MWPCA and RPCA parameter selection using the Tennessee Eastman process as an example. Based on the findings a novel procedure for RPCA parameter selection as well as a extension to RPCA will be proposed and demonstrated.},
     author = {Alexander Rehmer and Andreas Kroll},
     booktitle = {Proceedings of the 20th IFAC World Congress},
     mrtnote = {FEE,peer},
     organization = {IFAC},
     owner = {rehmer},
     pages = {15329-15334},
     timestamp = {2016.11.14},
     title = {An extension to RPCA parameter selection and process
    monitoring},
     year = {2017}
    }
    
    
    Thomas Guenther, Andreas Kroll Automated Detection of Compressed Air Leaks Using a Scanning Ultrasonic Sensor System 2016 IEEE Sensors Applications Symposium (SAS), pp. 116 - 121, Catania, Italy, 20.-22. April  DOI  
    BibTeX:
    @inproceedings{GuentherSAS2016,
     address = {Catania, Italy},
     author = {Thomas Guenther and Andreas Kroll},
     booktitle = {IEEE Sensors Applications Symposium (SAS)},
     doi = {10.1109/SAS.2016.7479830},
     language = {english},
     month = {20.-22. April},
     mrtnote = {robotair, peer},
     owner = {guenther},
     pages = {116 -- 121},
     timestamp = {2016.02.24},
     title = {Automated Detection of Compressed Air Leaks Using a Scanning Ultrasonic Sensor
    System},
     year = {2016}
    }
    
    
    Salman Zaidi, Andreas Kroll On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification 2016 at - Automatisierungstechnik, vol. 64, no. 6, pp. 418 - 427  URL  
    BibTeX:
    @article{Zaidi-AT-2016,
     author = {Salman Zaidi and Andreas Kroll},
     journal = {at -- Automatisierungstechnik},
     mrtnote = {FuzzyT2,peer},
     number = {6},
     owner = {salman},
     pages = {418 -- 427},
     timestamp = {2016.06.03},
     title = {On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification},
     url = {https://www.degruyter.com/view/j/auto},
     volume = {64},
     year = {2016}
    }
    
    
    Matthias Gringard, Andreas Kroll On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models 2016 IEEE Symposium Series of Computational Intelligence 2016, pp. 39 - 60, Athens, Greece, IEEE, 06.-09. December  URL  
    BibTeX:
    @inproceedings{GringardSSCI2016,
     address = {Athens, Greece},
     author = {Matthias Gringard and Andreas Kroll},
     booktitle = {IEEE Symposium Series of Computational Intelligence
    2016},
     month = {06.-09. December},
     mrtnote = {peer,OED},
     organization = {IEEE},
     owner = {gringard},
     pages = {39 -- 60},
     timestamp = {2016.06.08},
     title = {On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models},
     url = {https://ssci2016.cs.surrey.ac.uk/IEEE%202016.htm},
     year = {2016}
    }
    
    
    Chun Liu, Andreas Kroll Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems 2016 SpringerPlus Engineering, vol. 15, no. 1, August  DOI , URL  
    Abstract: Multi-robot task allocation determines the task sequence and distribution for a group of robots in multi-robot systems, which is one of constrained combinatorial optimization problems and more complex in case of cooperative tasks because they introduce additional spatial and temporal constraints. To solve multi-robot task allocation problems with cooperative tasks efficiently, a subpopulation-based genetic algorithm, a crossover-free genetic algorithm employing mutation operators and elitism selection in each subpopulation, is developed in this paper. Moreover, the impact of mutation operators (swap, insertion, inversion, displacement, and their various combinations) is analyzed when solving several industrial plant inspection problems. The experimental results show that: (1) the proposed genetic algorithm can obtain better solutions than the tested binary tournament genetic algorithm with partially mapped crossover; (2) inversion mutation performs better than other tested mutation operators when solving problems without cooperative tasks, and the swap-inversion combination performs better than other tested mutation operators/combinations when solving problems with cooperative tasks. As it is difficult to produce all desired effects with a single mutation operator, using multiple mutation operators (including both inversion and swap) is suggested when solving similar combinatorial optimization problems.
    BibTeX:
    @article{EAAI2016,
     abstract = {Multi-robot task allocation determines the task sequence and distribution for a group of robots in multi-robot systems, which is one of constrained combinatorial optimization problems and more complex in case of cooperative tasks because they introduce additional spatial and temporal constraints. To solve multi-robot task allocation problems with cooperative tasks efficiently, a subpopulation-based genetic algorithm, a crossover-free genetic algorithm employing mutation operators and elitism selection in each subpopulation, is developed in this paper. Moreover, the impact of mutation operators (swap, insertion, inversion, displacement, and their various combinations) is analyzed when solving several industrial plant inspection problems. The experimental results show that: (1) the proposed genetic algorithm can obtain better solutions than the tested binary tournament genetic algorithm with partially mapped crossover; (2) inversion mutation performs better than other tested mutation operators when solving problems without cooperative tasks, and the swap-inversion combination performs better than other tested mutation operators/combinations when solving problems with cooperative tasks. As it is difficult to produce all desired effects with a single mutation operator, using multiple mutation operators (including both inversion and swap) is suggested when solving similar combinatorial optimization problems.},
     author = {Chun Liu and Andreas Kroll},
     doi = {10.1186/s40064-016-3027-2},
     eid = {PMC4990531},
     journal = {SpringerPlus Engineering},
     language = {english},
     month = {August},
     mrtnote = {peer},
     number = {1},
     owner = {duerrbaum},
     timestamp = {2016.09.26},
     title = {Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation
    problems},
     url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990531/},
     volume = {15},
     year = {2016}
    }
    
    
    Axel Dürrbaum, Andreas Kroll On robust experiment design for identifying locally affine Takagi-Sugeno models 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest, Hungary, IEEE Systems, Man, and Cybernetics, October, 9 - 12  DOI , URL  
    Abstract: Optimal experiment design (OED) is a well-developed concept for linear regression and linear dynamical modeling problems. In case of nonlinear models, the dilemma is that in order to evaluate the Fisher Information Matrix (FIM) for experiment design, the parameters to be estimated are required to evaluate the FIM. In case of locally affine Takagi-Sugeno (TS) models and D-optimal designs, even a "robust" sequential OED may not be sufficiently robust against wrong assumptions on partition parameters. As remedy, a two stage experiment design is proposed: It uses a space-filling design to estimate good initial TS model parameters. These are used to initialize a robust sequential FIM-based OED. The method is demonstrated for a nonlinear regression problem.
    BibTeX:
    @inproceedings{2016-ad_ak-SMC2016-OED,
     abstract = {Optimal experiment design (OED) is a well-developed concept for linear regression and linear dynamical modeling problems. In case of nonlinear models, the dilemma is that in order to evaluate the Fisher Information Matrix (FIM) for experiment design, the parameters to be estimated are required to evaluate the FIM. In case of locally affine Takagi-Sugeno (TS) models and D-optimal designs, even a "robust" sequential OED may not be sufficiently robust against wrong assumptions on partition parameters. As remedy, a two stage experiment design is proposed: It uses a space-filling design to estimate good initial TS model parameters. These are used to initialize a robust sequential FIM-based OED. The method is demonstrated for a nonlinear regression problem.},
     address = {Budapest, Hungary},
     author = {Axel Dürrbaum and Andreas Kroll},
     booktitle = {IEEE International Conference on Systems, Man, and
    Cybernetics (SMC 2016)},
     doi = {10.1109/SMC.2016.7844506},
     language = {english},
     month = {October, 9 -- 12},
     mrtnote = {peer,OED,poster:kroll},
     organization = {IEEE Systems, Man, and Cybernetics},
     owner = {duerrbaum},
     timestamp = {2016.06.27},
     title = {On robust experiment design for identifying locally
    affine Takagi-Sugeno models},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7844506},
     year = {2016}
    }
    
    
    Atzmueller, Martin, Kloepper, Benjamin, Al Mawla, Hassan, Jäschke, Benjamin, Hollender, Martin, Graube, Markus, Arnu, David, Schmidt, Andreas, Heinze, Sebastian, Schorer, Lukas, Kroll, Andreas, Stumme, Gerd, Urbas, Leon Big data analytics for proactive industrial decision support: Approaches \& first experiences in the FEE Project 2016 atp edition, vol. 58, no. 9, pp. 62-74, September  URL  
    BibTeX:
    @article{AtzmuellerATP2016,
     author = {Atzmueller, Martin and Kloepper, Benjamin and Al Mawla, Hassan and Jäschke, Benjamin and Hollender, Martin and Graube, Markus and Arnu, David and Schmidt, Andreas and Heinze, Sebastian and Schorer, Lukas and Kroll, Andreas and Stumme, Gerd and Urbas, Leon},
     journal = {atp edition},
     language = {english},
     month = {September},
     mrtnote = {FEE,peer},
     number = {9},
     owner = {duerrbaum},
     pages = {62--74},
     timestamp = {2016.08.02},
     title = {Big data analytics for proactive industrial decision support: Approaches \& first experiences in the FEE Project},
     url = {https://www.di-verlag.de/de/Zeitschriften/atp-edition/2016/09/Big-data-analytics-for-proactive-industrial-decision-support},
     volume = {58},
     year = {2016}
    }
    
    
    Andreas Geiger, Andreas Kroll Erweiterung komplexer Netzwerke zur dynamischen Modellierung und Analyse von großen, verkoppelten Systemen 2016 at - Automatisierungstechnik, vol. 64, no. 2, pp. 110 - 120  DOI  
    BibTeX:
    @article{at-2016-Geiger_Kroll,
     author = {Andreas Geiger and Andreas Kroll},
     doi = {10.1515/auto-2015-0086},
     journal = {at -- Automatisierungstechnik},
     language = {german},
     mrtnote = {peer,muPlant,Netze},
     number = {2},
     owner = {duerrbaum},
     pages = {110 -- 120},
     timestamp = {2015.12.17},
     title = {Erweiterung komplexer Netzwerke zur dynamischen Modellierung und Analyse von großen, verkoppelten Systemen},
     volume = {64},
     year = {2016}
    }
    
    
    Alexander Schrodt, Andreas Kroll Zur regelungsorientierten Identifikation und driftkompensierenden Takagi-Sugeno-Fuzzy-Regelung 2016 at - Automatisierungstechnik, vol. 64, no. 4, pp. 270 - 281  URL  
    BibTeX:
    @article{Schrodt2016at,
     author = {Alexander Schrodt and Andreas Kroll},
     issn = {2196-677X},
     journal = {at -- Automatisierungstechnik},
     language = {german},
     mrtnote = {FuzzyIdControl,peer},
     number = {4},
     owner = {duerrbaum},
     pages = {270 -- 281},
     timestamp = {2015.11.02},
     title = {Zur regelungsorientierten Identifikation und driftkompensierenden
    Takagi-Sugeno-Fuzzy-Regelung},
     url = {https://www.degruyter.com/view/j/auto},
     volume = {64},
     year = {2016}
    }
    
    
    Salman Zaidi, Andreas Kroll A Novel Approach to TS Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued Outputs 2015 Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 1196 - 1201, Beijing, China, October 19-21  DOI  
    Abstract: A novel approach to Takagi-Sugeno (T-S) fuzzy modeling of a class of nonlinear dynamic systems having variability in their outputs for the Nonlinear Output Error (NOE) case is addressed in this article. Multiple input-output datasets were obtained by repeating the identification experiment. The variability in the output time series is captured by defining the envelops of response at each time instant. These envelops actually provide the confidence interval based upper and lower bounds of the output time series using the extended Chebyshev's Inequality. Different from the previous approach, in which two independent T-S fuzzy models were used for identifying each bound, a single T-S fuzzy model is identified in this work, which resulted in interval parameters for the antecedent and consequent variables. This is accomplished by first transforming the bounds into the symbolic interval-valued data and then using this data for identification. In order to get the expected response, the estimated lower and upper bound time series of the identified T-S fuzzy model were averaged out at each time instant, as permitted by the structure of the extended Chebyshev's Inequality. The proposed approach is demonstrated and validated for the experimental data obtained from diesel-engine electro-mechanical throttle valve.
    BibTeX:
    @inproceedings{Zaidi-SYSID-2015,
     abstract = {A novel approach to Takagi-Sugeno (T-S) fuzzy modeling of a class of nonlinear dynamic systems having variability in their outputs for the Nonlinear Output Error (NOE) case is addressed in this article. Multiple input-output datasets were obtained by repeating the identification experiment. The variability in the output time series is captured by defining the envelops of response at each time instant. These envelops actually provide the confidence interval based upper and lower bounds of the output time series using the extended Chebyshev's Inequality. Different from the previous approach, in which two independent T-S fuzzy models were used for identifying each bound, a single T-S fuzzy model is identified in this work, which resulted in interval parameters for the antecedent and consequent variables. This is accomplished by first transforming the bounds into the symbolic interval-valued data and then using this data for identification. In order to get the expected response, the estimated lower and upper bound time series of the identified T-S fuzzy model were averaged out at each time instant, as permitted by the structure of the extended Chebyshev's Inequality. The proposed approach is demonstrated and validated for the experimental data obtained from diesel-engine electro-mechanical throttle valve.},
     address = {Beijing, China},
     author = {Salman Zaidi and Andreas Kroll},
     booktitle = {Proceedings of the 17th IFAC Symposium on System
    Identification ({SysID})},
     doi = {doi:10.1016/j.ifacol.2015.12.294},
     language = {english},
     month = {October 19-21},
     mrtnote = {FuzzyT2,peer},
     owner = {duerrbaum},
     pages = {1196 -- 1201},
     timestamp = {2015.06.02},
     title = {A Novel Approach to {TS} Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued
    Outputs},
     year = {2015}
    }
    
    
    Rangel Gonzalez, Johannes, Garzon, Julian, Sofrony, Jorge, Kroll Andreas Gas Leak Inspection Task Based on Thermal-Visual-Depth Images and a Depth-enhanced Gas Detection Strategy 2015 Revista de Ingeniería Universidad de los Andes, no. 42, pp. 8-15, June  URL  
    BibTeX:
    @article{2015_Rangel_RIUA,
     author = {Rangel Gonzalez, Johannes and Garzon, Julian and Sofrony, Jorge and Kroll
    
    Andreas},
     journal = {Revista de Ingeniería Universidad de los Andes},
     language = {English},
     month = {June},
     mrtnote = {peer},
     number = {42},
     owner = {duerrbaum},
     pages = {8-15},
     timestamp = {2015.04.08},
     title = {Gas Leak Inspection Task Based on Thermal-Visual-Depth Images and a Depth-enhanced Gas Detection
    Strategy},
     url = {https://ojsrevistaing.uniandes.edu.co/ojs/index.php/revista/article/view/40},
     year = {2015}
    }
    
    
    Ordonez Müller, Antonio, Kroll, Andreas On the Temperature Assignment Problem and the Use of Confidence Textures in the Creation of 3D Thermograms 2015 9th International Conference on Sensing Technology (ICST 2015), pp. 235-240, Auckland, New Zealand, December 8. - 10.  DOI , URL  
    Abstract: In infrared thermography, the temperature measured by a thermal imaging device varies with the position and orientation of the camera with respect to an object's surface. 3D thermography has hence the potential to depict the surface temperature of objects with higher fidelity than conventional 2D thermography. So far the problem of assigning temperature values that correspond to the same surface but were obtained from different perspectives has been addressed by simply overwriting previous values with new values or by averaging the measured values according to a weighted averaging scheme. A new approach to map temperature values onto a 3D model is proposed that results in a more faithful representation of an object's real surface temperature in form of a 3D thermogram. Temperature values are assigned in real time to the 3D model taking into consideration the observation conditions under which they were measured. These conditions are also made available to the user in form of textured 3D models, where the texture color depicts the level of confidence associated to the thermal measurements. These textures provide useful additional information about the 3D thermogram. The new approach is especially helpful in the real-time generation of 3D thermograms as the user gets live feedback on the quality of the thermal model being generated.
    BibTeX:
    @inproceedings{ordonezmuller_2015,
     abstract = {In infrared thermography, the temperature measured by a thermal imaging device varies with the position and orientation of the camera with respect to an object's surface. 3D thermography has hence the potential to depict the surface temperature of objects with higher fidelity than conventional 2D thermography. So far the problem of assigning temperature values that correspond to the same surface but were obtained from different perspectives has been addressed by simply overwriting previous values with new values or by averaging the measured values according to a weighted averaging scheme. A new approach to map temperature values onto a 3D model is proposed that results in a more faithful representation of an object's real surface temperature in form of a 3D thermogram. Temperature values are assigned in real time to the 3D model taking into consideration the observation conditions under which they were measured. These conditions are also made available to the user in form of textured 3D models, where the texture color depicts the level of confidence associated to the thermal measurements. These textures provide useful additional information about the 3D thermogram. The new approach is especially helpful in the real-time generation of 3D thermograms as the user gets live feedback on the quality of the thermal model being generated.},
     address = {Auckland, New Zealand},
     author = {Ordonez Müller, Antonio and Kroll, Andreas},
     booktitle = {9th International Conference on Sensing Technology (ICST 2015)},
     doi = {10.1109/ICSensT.2015.7438397},
     keywords = {thermal imaging, 3D real time thermography, vision sensing, sensor data fusion},
     language = {english},
     month = {December 8. -- 10.},
     mrtnote = {robotair, peer},
     owner = {Ordonez Müller},
     pages = {235--240},
     timestamp = {2015.07.22},
     title = {On the Temperature Assignment Problem and the Use of
    Confidence Textures in the Creation of 3D
    Thermograms},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7438397},
     year = {2015}
    }
    
    
    Matthias Kahl, Andreas Kroll, Robert Kästner and Manfried Sofsky Application of model selection methods for the identification of a dynamic boost pressure model 2015 Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 829-834, Beijing, China, October 19-21  DOI  
    BibTeX:
    @inproceedings{KahlSysID2015,
     address = {Beijing, China},
     author = {Matthias Kahl and Andreas Kroll and Robert Kästner
    and Manfried Sofsky},
     booktitle = {Proceedings of the 17th IFAC Symposium on System
    Identification ({SysID})},
     doi = {doi:10.1016/j.ifacol.2015.12.232},
     language = {english},
     month = {October 19-21},
     mrtnote = {peer,DynModNL,SFS_TS},
     owner = {duerrbaum},
     pages = {829-834},
     timestamp = {2015.03.25},
     title = {Application of model selection methods for the identification of a dynamic boost pressure
    model},
     year = {2015}
    }
    
    
    Hegenberg, J., Herrmann, R., Ziegner, D., Schmidt, L., Guenther, T., Müller, A. O., Kroll, A., Barz, T., Schulz D. Forschungsprojekt RobotAir: Praxistaugliches Boden-Luft-Servicerobotersystem für die Inspektion industrieller Druckluftversorgung und die Verbesserung der Arbeitsumgebungsfaktoren 2015 Technische Sicherheit, vol. 5, no. 5, pp. 16-22, Mai   
    BibTeX:
    @article{Hegenberg2015,
     author = {Hegenberg, J. and Herrmann, R. and Ziegner, D. and Schmidt, L. and Guenther, T. and Müller, A. O. and Kroll, A. and Barz, T. and Schulz
    
    D.},
     journal = {Technische Sicherheit},
     keywords = {robotair},
     language = {deutsch},
     month = {Mai},
     mrtnote = {peer, robotair,pke},
     number = {5},
     owner = {duerrbaum},
     pages = {16-22},
     timestamp = {2015.03.25},
     title = {Forschungsprojekt RobotAir: Praxistaugliches Boden-Luft-Servicerobotersystem für die Inspektion industrieller Druckluftversorgung und die Verbesserung der
    Arbeitsumgebungsfaktoren},
     volume = {5},
     year = {2015}
    }
    
    
    Chun Liu, Andreas Kroll Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks 2015 Soft Computing, vol. 19, no. 3, pp. 567-584, Online First  DOI , URL  
    BibTeX:
    @article{SOCO2014,
     author = {Chun Liu and Andreas Kroll},
     doi = {10.1007/s00500-014-1274-0},
     journal = {Soft Computing},
     language = {english},
     mrtnote = {MultiRobot,peer},
     note = {Online First},
     number = {3},
     pages = {567-584},
     timestamp = {2014.03.13},
     title = {Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative
    tasks},
     url = {https://link.springer.com/article/10.1007/s00500-014-1274-0},
     volume = {19},
     year = {2015}
    }
    
    
    Andreas Kroll, Axel Dürrbaum On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno models 2015 Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 1427 - 1432, Beijing, China, October 19-21  DOI  
    Abstract: Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-their-parameters or for linear dynamical models. In case of nonlinear Takagi-Sugeno models either non-model-based experiment design or OED restricted to the local model parameters has been examined. This article proposes a joint design of local model and partition parameters that bases on the Fisher Information Matrix (FIM). For this purpose, a symbolic description of the joint FIM is derived. Its heterogeneous structure can make it badly conditioned, complicating computation of the determinant for D-optimal design. This problem is relaxed using determinant decomposition. A theoretical analysis and a case study show that experiment design for local model and partition parameters may significantly differ from each other.
    BibTeX:
    @inproceedings{Duerrbaum-2015-SysID,
     abstract = {Optimal Experiment Design (OED) is a well-developed concept for regression problems that are linear-in-their-parameters or for linear dynamical models. In case of nonlinear Takagi-Sugeno models either non-model-based experiment design or OED restricted to the local model parameters has been examined. This article proposes a joint design of local model and partition parameters that bases on the Fisher Information Matrix (FIM). For this purpose, a symbolic description of the joint FIM is derived. Its heterogeneous structure can make it badly conditioned, complicating computation of the determinant for D-optimal design. This problem is relaxed using determinant decomposition. A theoretical analysis and a case study show that experiment design for local model and partition parameters may significantly differ from each other.},
     address = {Beijing, China},
     author = {Andreas Kroll and Axel Dürrbaum},
     booktitle = {Proceedings of the 17th IFAC Symposium on System
    Identification ({SysID})},
     doi = {doi:10.1016/j.ifacol.2015.12.333},
     keywords = {Nonlinear system identification, optimal experiment design
    Takagi-Sugeno fuzzy
    systems},
     language = {english},
     month = {October 19-21},
     mrtnote = {peer,talk:Dürrbaum,oed},
     pages = {1427 -- 1432},
     timestamp = {2015.02.13},
     title = {On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno
    models},
     year = {2015}
    }
    
    
    Alexander Schrodt, Andreas Kroll Using an Iterative and Affine Closed-Loop Identification and Controller Design Scheme for Takagi-Sugeno Models 2015 Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 362 - 367, Beijing, China, October 19 - 21  DOI  
    BibTeX:
    @inproceedings{Schrodt2015SysID,
     address = {Beijing, China},
     author = {Alexander Schrodt and Andreas Kroll},
     booktitle = {Proceedings of the 17th IFAC Symposium on System
    Identification ({SysID})},
     doi = {doi:10.1016/j.ifacol.2015.12.154},
     language = {english},
     month = {October 19 -- 21},
     mrtnote = {FuzzyIdControl,peer},
     owner = {duerrbaum},
     pages = {362 -- 367},
     timestamp = {2015.02.20},
     title = {Using an Iterative and Affine Closed-Loop Identification and Controller Design Scheme for {Takagi}-{Sugeno}
    Models},
     year = {2015}
    }
    
    
    Alexander Schrodt, Andreas Kroll Drift Term Compensating Control for Off-Equilibrium Operation of Nonlinear Systems with Takagi-Sugeno Fuzzy Models 2015 Proceedings of the 14th European Control Conference (ECC), pp. 392 - 397, Linz, Austria, July 15 - 17  DOI  
    BibTeX:
    @inproceedings{Schrodt2015ECC,
     address = {Linz, Austria},
     author = {Alexander Schrodt and Andreas Kroll},
     booktitle = {Proceedings of the 14th {European Control
    Conference} ({ECC})},
     doi = {10.1109/ECC.2015.7330575},
     language = {english},
     month = {July 15 -- 17},
     mrtnote = {FuzzyIdControl,peer},
     owner = {duerrbaum},
     pages = {392 -- 397},
     timestamp = {2015.02.20},
     title = {Drift Term Compensating Control for Off-Equilibrium Operation of Nonlinear Systems with {Takagi}-{Sugeno} Fuzzy
    Models},
     year = {2015}
    }
    
    
    Samuel Soldan, Denis Ouellet, Peyman Hedayati, Hakim Bendada, Denis Laurendeau, Andreas Kroll Mapping Non-Destructive Testing Data on the 3D Geometry of Objects with Complex Shapes 2014 12th International Conference for Quantitative InfraRed Thermography (QIRT 2014), Bordeaux, France, 7 - 11 July  URL  
    BibTeX:
    @inproceedings{2014-QIRT_Ulaval,
     address = {Bordeaux, France},
     author = {Samuel Soldan and Denis Ouellet and Peyman Hedayati and Hakim Bendada and Denis Laurendeau and Andreas Kroll},
     booktitle = {12th International Conference for Quantitative
    InfraRed Thermography (QIRT 2014)},
     month = {7 -- 11 July},
     mrtnote = {robotair, thermofusion,peer,pke},
     owner = {soldan},
     timestamp = {2014.02.25},
     title = {Mapping Non-Destructive Testing Data on the 3D Geometry of Objects with Complex
    Shapes},
     url = {https://qirt2014.scientific-event.com/},
     year = {2014}
    }
    
    
    Samuel Soldan, Andreas Kroll Übersicht zu Sensordatenfusionsansätzen in der Thermografie 2014 tm - Technisches Messen, vol. 81, no. 10, pp. 474-484, Oktober  DOI , URL  
    Abstract: In diesem Beitrag wird eine Übersicht über verschiedene Ansätze gegeben, um durch Fusion bzw. Kombination von mehreren, unterschiedlichen Aufnahmen die Qualität des thermografischen Messergebnisses zu verbessern und/oder die Menge an nutzbaren Informationen über ein Messobjekt zu erhöhen. Dabei wird sowohl die Kombination verschiedener Thermografiedaten (uni-modale Fusion), als auch die Sensordatenfusion mit anderen bildgebenden Messverfahren (multi-modale Fusion) behandelt.
    BibTeX:
    @article{2014-ss_ak-tm-Sensordatenfusion,
     abstract = {In diesem Beitrag wird eine Übersicht über verschiedene Ansätze gegeben, um durch Fusion bzw. Kombination von mehreren, unterschiedlichen Aufnahmen die Qualität des thermografischen Messergebnisses zu verbessern und/oder die Menge an nutzbaren Informationen über ein Messobjekt zu erhöhen. Dabei wird sowohl die Kombination verschiedener Thermografiedaten (uni-modale Fusion), als auch die Sensordatenfusion mit anderen bildgebenden Messverfahren (multi-modale Fusion) behandelt.},
     author = {Samuel Soldan and Andreas Kroll},
     doi = {10.1515/teme-2014-1044},
     journal = {tm -- Technisches Messen},
     keywords = {Thermografie, Sensordatenfusion, Kamerakalibrierung, Registrierung
    
    Datenverdichtung.},
     language = {german},
     month = {Oktober},
     mrtnote = {peer},
     number = {10},
     owner = {duerrbaum},
     pages = {474-484},
     timestamp = {2014.09.08},
     title = {Übersicht zu Sensordatenfusionsansätzen in der
    Thermografie},
     url = {https://www.degruyter.com/view/j/teme},
     volume = {81},
     year = {2014}
    }
    
    
    Salman Zaidi, Andreas Kroll On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties 2014 19th IFAC World Congress, pp. 3226-3231, Cape Town, South Africa, 24-29. August  DOI  
    Abstract: In modeling of a stochastic nonlinear dynamic system from input-output data, it may be of interest to model uncertainty in the underlying system besides predicting a most likely or average response of the system. Due to stochasticity in the system behavior, the data obtained for identification can be considered as one realization of the underlying stochastic phenomenon. In order to effectively deal with the identification of such systems, it may be advantageous to repeat the identification experiment multiple times under similar conditions. The multiple input-output time series generated in this way thus contain information about stochastic variations within the system. This paper presents one of the possible approaches to effectively deal with identification in such scenario in the framework of Nonlinear Output Error (NOE) Takagi-Sugeno (TS) fuzzy models. Based on extended Chebyshev's inequality for finite samples, the lower and upper boundaries of the output time-series are obtained using (1-$\alpha$) confidence interval (envelops of the response). The proposed identification algorithm provides a model for predicting the most likely value as well as the boundary models for predicting the envelops of the output signal. The experimental results for an electro-mechanical throttle shows the applicability and validity of the proposed approach.
    BibTeX:
    @inproceedings{Zaidi-IFAC-2014,
     abstract = {In modeling of a stochastic nonlinear dynamic system from input-output data, it may be of interest to model uncertainty in the underlying system besides predicting a most likely or average response of the system. Due to stochasticity in the system behavior, the data obtained for identification can be considered as one realization of the underlying stochastic phenomenon. In order to effectively deal with the identification of such systems, it may be advantageous to repeat the identification experiment multiple times under similar conditions. The multiple input-output time series generated in this way thus contain information about stochastic variations within the system. This paper presents one of the possible approaches to effectively deal with identification in such scenario in the framework of Nonlinear Output Error (NOE) Takagi-Sugeno (TS) fuzzy models. Based on extended Chebyshev's inequality for finite samples, the lower and upper boundaries of the output time-series are obtained using (1-$\alpha$) confidence interval (envelops of the response). The proposed identification algorithm provides a model for predicting the most likely value as well as the boundary models for predicting the envelops of the output signal. The experimental results for an electro-mechanical throttle shows the applicability and validity of the proposed approach.},
     address = {Cape Town, South Africa},
     author = {Salman Zaidi and Andreas Kroll},
     booktitle = {19th IFAC World Congress},
     doi = {doi:10.3182/20140824-6-ZA-1003.01443},
     language = {english},
     month = {24-29. August},
     mrtnote = {peer,FuzzyT2},
     pages = {3226-3231},
     title = {On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties},
     year = {2014}
    }
    
    
    Rangel González, Johannes Havid, Soldan, Samuel and Kroll, Andreas 3D Thermal Imaging: Fusion of Thermography and Depth Cameras 2014 12th International Conference for Quantitative InfraRed Thermography (QIRT 2014), Bordeaux, France, 7 - 11 July  URL  
    BibTeX:
    @inproceedings{2014-QIRT_JR,
     address = {Bordeaux, France},
     author = {Rangel González, Johannes Havid and Soldan, Samuel
    and Kroll, Andreas},
     booktitle = {12th International Conference for Quantitative
    InfraRed Thermography (QIRT 2014)},
     month = {7 -- 11 July},
     mrtnote = {robotair, thermofusion,peer,pke},
     owner = {soldan},
     timestamp = {2014.02.25},
     title = {3D Thermal Imaging: Fusion of Thermography and Depth
    Cameras},
     url = {https://qirt2014.scientific-event.com/},
     year = {2014}
    }
    
    
    Moritz Wagner, Andreas Kroll A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno type 2014 13th European Control Conference (ECC 14), pp. 394 - 399, Strasbourg, IEEE, 25-27. June 2014  URL  
    Abstract: A clustering-based method to identify models that are piecewise affine or of Takagi-Sugeno type is presented. As prototype-based clustering algorithms, which are well suited for partitioning, frequently converge to unwanted local solutions, density-based noise clustering is used to initialize them. The clustering acts in a mixed parameter-position feature space and divides the data into separate sets for identifying local models and partition boundaries, which are assumed to be piecewise planar. The obtained partitions are tested on linearity and otherwise replaced each by a TS model that is identified from the respective data. The method is demonstrated for a test problem that includes switching, local polynomial nonlinearity as well as non-convex partition boundaries.
    BibTeX:
    @inproceedings{ECC2014-Wagner_Kroll,
     abstract = {A clustering-based method to identify models that are piecewise affine or of Takagi-Sugeno type is presented. As prototype-based clustering algorithms, which are well suited for partitioning, frequently converge to unwanted local solutions, density-based noise clustering is used to initialize them. The clustering acts in a mixed parameter-position feature space and divides the data into separate sets for identifying local models and partition boundaries, which are assumed to be piecewise planar. The obtained partitions are tested on linearity and otherwise replaced each by a TS model that is identified from the respective data. The method is demonstrated for a test problem that includes switching, local polynomial nonlinearity as well as non-convex partition boundaries.},
     address = {Strasbourg},
     author = {Moritz Wagner and Andreas Kroll},
     booktitle = {13th European Control Conference (ECC 14)},
     isbn = {978-3-9524269-2-0},
     language = {english},
     month = {25-27. June 2014},
     mrtnote = {peer,talk:kroll},
     organization = {IEEE},
     owner = {duerrbaum},
     pages = {394 -- 399},
     timestamp = {2014.03.14},
     title = {A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno
    type},
     url = {https://www.ecc14.eu/},
     year = {2014}
    }
    
    
    Kroll, Andreas, Sommer, Hanns-Jakob Coordination of Distributed Control Systems 2014 International Journal of Computing Anticipatory Systems, vol. 30, pp. 161-179, CHAOS, Liège, Belgium   
    BibTeX:
    @incollection{sommer2011CDCS,
     address = {Liège, Belgium},
     author = {Kroll, Andreas and Sommer, Hanns-Jakob},
     booktitle = {International Journal of Computing Anticipatory
    Systems},
     editor = {Daniel M. Dubois},
     isbn = {2-930396-19-9},
     issn = {1373-5411},
     language = {english},
     mrtnote = {peer},
     owner = {duerrbaum},
     pages = {161-179},
     publisher = {CHAOS},
     timestamp = {2015.01.12},
     title = {Coordination of Distributed Control Systems},
     volume = {30},
     year = {2014}
    }
    
    
    Andreas Kroll, Horst Schulte Benchmark problems for nonlinear system identification and control using Soft Computing methods: need and overview 2014 Applied Soft Computing, vol. 25, pp. 496-513, Dezember  DOI , URL  
    Abstract: Using benchmark problems to demonstrate and compare novel methods to the work of others could be more widely adopted by the Soft Computing community. This article contains a collection of several benchmark problems in nonlinear control and system identification, which are presented in a standardized format. Each problem is augmented by examples where it has been adopted for comparison. The selected examples range from component to plant level problems and originate mainly from the areas of mechatronics/drives and process systems. The authors hope that this overview contributes to a better adoption of benchmarking in method development test and demonstration.
    BibTeX:
    @article{2014-Kroll-Benchmark_NL-Applied_Soft_Computing,
     abstract = {Using benchmark problems to demonstrate and compare novel methods to the work of others could be more widely adopted by the Soft Computing community. This article contains a collection of several benchmark problems in nonlinear control and system identification, which are presented in a standardized format. Each problem is augmented by examples where it has been adopted for comparison. The selected examples range from component to plant level problems and originate mainly from the areas of mechatronics/drives and process systems. The authors hope that this overview contributes to a better adoption of benchmarking in method development test and demonstration.},
     author = {Andreas Kroll and Horst Schulte},
     doi = {10.1016/j.asoc.2014.08.034},
     journal = {Applied Soft Computing},
     keywords = {Benchmarking, Nonlinear control, Nonlinear system
    identification},
     language = {english},
     month = {Dezember},
     mrtnote = {peer},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2014-Kroll_Schulte-ASC-Benchmark.pdf},
     owner = {duerrbaum},
     pages = {496-513},
     timestamp = {2014.09.30},
     title = {Benchmark problems for nonlinear system identification and control using Soft Computing methods: need and
    overview},
     url = {https://www.sciencedirect.com/science/article/pii/S1568494614003998},
     volume = {25},
     year = {2014}
    }
    
    
    Andreas Geiger, Andreas Kroll Komplexe Netzwerke zur Modellierung und Analyse von Anlagen: Qualitative Detektion des Inverse-Response-Verhaltens von Systemen höherer Ordnung 2014 EKA 2014 Entwurf komplexer Automatisierungssysteme, Magdeburg, 14.-15. Mai   
    BibTeX:
    @inproceedings{Geiger2014a,
     address = {Magdeburg},
     author = {Andreas Geiger and Andreas Kroll},
     booktitle = {EKA 2014 Entwurf komplexer Automatisierungssysteme},
     language = {deutsch},
     month = {14.-15. Mai},
     mrtnote = {Netze, peer,pke},
     owner = {geiger},
     timestamp = {2010.07.06},
     title = {Komplexe Netzwerke zur Modellierung und Analyse von Anlagen: Qualitative Detektion des Inverse-Response-Verhaltens von Systemen höherer Ordnung},
     year = {2014}
    }
    
    
    Zhenxing Ren, Andreas Kroll, Manfried Sofsky and Friedhelm Laubenstein Zur physikalischen und datengetriebenen Modellbildung von Systemen mit Reibung: Methoden und Anwendung auf Kfz-Drosselklappen 2013 at - Automatisierungstechnik, vol. 61, no. 3, pp. 155 - 171  DOI  
    Abstract: Dynamische Modelle sind die Grundlage für verschiedenste Analyse- und Entwurfsaufgaben. Die Modellbildung von Systemen mit signifikanten Reibeffekten stellt eine schwierige Aufgabe dar. Dazu werden im vorliegenden Beitrag Verfahren zur physikalischen und datengetriebenen Modellbildung vorgestellt und am Beispiel von Drosselklappen an Diesel-Motoren angewendet. Die Modelle werden in der HiL-Simulation für Tests von Motorsteuergeräten eingesetzt.
    BibTeX:
    @article{at-Ren_2012,
     abstract = {Dynamische Modelle sind die Grundlage für verschiedenste Analyse- und Entwurfsaufgaben. Die Modellbildung von Systemen mit signifikanten Reibeffekten stellt eine schwierige Aufgabe dar. Dazu werden im vorliegenden Beitrag Verfahren zur physikalischen und datengetriebenen Modellbildung vorgestellt und am Beispiel von Drosselklappen an Diesel-Motoren angewendet. Die Modelle werden in der HiL-Simulation für Tests von Motorsteuergeräten eingesetzt.},
     author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
    and Friedhelm Laubenstein},
     doi = {10.1524/auto.2013.0023},
     journal = {at -- Automatisierungstechnik},
     keywords = {Physikalische Modellbildung, Identifikation, datengetriebene Modellbildung, PWA-Modell, Systeme mit Reibung
    
    Hardware-in-the-Loop-Simulation},
     language = {german},
     mrtnote = {peer,Drosselklappe},
     number = {3},
     owner = {ren},
     pages = {155 -- 171},
     timestamp = {2012.08.22},
     title = {Zur physikalischen und datengetriebenen Modellbildung von Systemen mit Reibung: Methoden und Anwendung auf
    Kfz-Drosselklappen},
     volume = {61},
     year = {2013}
    }
    
    
    Ordonez Müller, Antonio, Kroll, A. On Range Extension of Tunable Diode Laser Absorption Spectroscopy (TDLAS) Based Devices in Remote Gas Sensing Applications 2013 International Symposium on Olfaction and Electronic Nose - ISOEN 2013, EXCO, Daegu, Korea, July 2-5  URL  
    Abstract: Uncontrolled emissions of harmful gases pose a real threat to human safety and the environment. A cost effective way to effectively monitor the presence of such gases in large environments like industrial plants is highly desirable. This paper discusses the issues that arise when using retro-reflectors to extend the operating range of a commercial device that utilizes Tunable Diode Laser Absorption Spectroscopy (TDLAS) for remote gas sensing.
    BibTeX:
    @inproceedings{ordonezmuller_2013a,
     abstract = {Uncontrolled emissions of harmful gases pose a real threat to human safety and the environment. A cost effective way to effectively monitor the presence of such gases in large environments like industrial plants is highly desirable. This paper discusses the issues that arise when using retro-reflectors to extend the operating range of a commercial device that utilizes Tunable Diode Laser Absorption Spectroscopy (TDLAS) for remote gas sensing.},
     address = {EXCO, Daegu, Korea},
     author = {Ordonez Müller, Antonio and Kroll, A.},
     booktitle = {International Symposium on Olfaction and Electronic
    Nose -- {ISOEN} 2013},
     file = {Präsentation:M\:\\Bibliothek\\MRT\\Publikationen\\ISOEN_2013\\On
    Range Extension of TDLAS Based Devices in Remote Gas
    Sensing
    Applications_presented.pptx:PowerPoint;Paper:M\:\\Bibliothek\\MRT\\Publikationen\\ISOEN_2013\\On
    Range Extension of TDLAS Based Devices in Remote Gas
    Sensing Applications_BMBF.pdf:PDF},
     language = {english},
     month = {July 2-5},
     mrtnote = {robotair, peer},
     owner = {Ordonez Müller},
     timestamp = {2013.03.25},
     title = {On Range Extension of Tunable Diode Laser Absorption Spectroscopy (TDLAS) Based Devices in Remote Gas Sensing
    Applications},
     url = {https://www.olfactionsociety.org/event/isoen-2013},
     year = {2013}
    }
    
    
    Gero Bonow, Andreas Kroll Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max method 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 987 - 992, IEE, Karlsruhe, Germany, May  DOI  
    Abstract: In order to automate routine inspections in large industrial environments, a mobile robotic system is being developed in the RoboGasInspector project. The robot's sensor-head consists of different instruments for remote gas sensing using multiple measurement principles. This contribution focuses on Tunable Diode Laser Absorption Spectroscopy (TDLAS). The measurement device allows quantitative gas concentration measurements and achieves high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure the concentration along a path at a time and require a diffusely reflecting background. Using a pan-tilt unit, objects and areas can be scanned. This paper describes the triangulation-maximization leak-localizing strategy (Tri-Max) used in the project RoboGasInspector. Results based on outdoor experiments in two industrial plants and a landfill dump are presented.
    BibTeX:
    @inproceedings{2013-Bonow_Kroll-ICRA-Gas_leak_localization,
     abstract = {In order to automate routine inspections in large industrial environments, a mobile robotic system is being developed in the RoboGasInspector project. The robot's sensor-head consists of different instruments for remote gas sensing using multiple measurement principles. This contribution focuses on Tunable Diode Laser Absorption Spectroscopy (TDLAS). The measurement device allows quantitative gas concentration measurements and achieves high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure the concentration along a path at a time and require a diffusely reflecting background. Using a pan-tilt unit, objects and areas can be scanned. This paper describes the triangulation-maximization leak-localizing strategy (Tri-Max) used in the project RoboGasInspector. Results based on outdoor experiments in two industrial plants and a landfill dump are presented.},
     address = {Karlsruhe, Germany},
     author = {Gero Bonow and Andreas Kroll},
     booktitle = {IEEE International Conference on Robotics and
    Automation (ICRA)},
     doi = {10.1109/ICRA.2013.6630693},
     isbn = {978-1-4673-5641-1},
     issn = {1050-4729},
     language = {english},
     month = {May},
     mrtnote = {peer,robogas},
     owner = {duerrbaum},
     pages = {987 -- 992},
     publisher = {IEE},
     timestamp = {2015.04.08},
     title = {Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max
    method},
     year = {2013}
    }
    
    
    Andreas Geiger, Hanns Sommer, Andreas Kroll In Need of Methods to Solve Imprecisely Posed Problems 2013 10th International Conference on Informatics in Control Automation and Robotics (ICINCO), Reykjavik, 29.-31. July   
    BibTeX:
    @inproceedings{Geiger2013a,
     address = {Reykjavik},
     author = {Andreas Geiger and Hanns Sommer and Andreas Kroll},
     booktitle = {10th International Conference on Informatics in Control
    Automation and Robotics
    (ICINCO)},
     language = {english},
     month = {29.-31. July},
     mrtnote = {peer},
     owner = {duerrbaum},
     timestamp = {2010.07.06},
     title = {In Need of Methods to Solve Imprecisely Posed
    Problems},
     year = {2013}
    }
    
    
    Andreas Geiger, Andreas Kroll Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response 2013 CICA 2013 IEEE Symposium on Computational Intelligence in Control and Automation, Singapore, IEEE Symposium Series on Computational Intelligence 2013, 15.-19. April   
    BibTeX:
    @inproceedings{Geiger2013,
     address = {Singapore},
     author = {Andreas Geiger and Andreas Kroll},
     booktitle = {CICA 2013 IEEE Symposium on Computational
    Intelligence in Control and Automation},
     language = {english},
     month = {15.-19. April},
     mrtnote = {Netze, peer},
     organization = {IEEE Symposium Series on Computational Intelligence
    2013},
     owner = {duerrbaum},
     timestamp = {2010.07.06},
     title = {Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse
    Response},
     year = {2013}
    }
    
    
    Zhenxing Ren, Andreas Kroll, Manfried Sofsky and Friedhelm Laubenstein On identification of piecewise-affine models for systems with friction and its application to electro-mechanical throttles 2012 Sysid 2012, 16th IFAC Symposium on System Identification Brussels, vol. 16, no. 1, pp. 1395-1400, Elsevier Ltd., Brussels, Belgium, IFAC, 11.-13. 07.2012  DOI  
    BibTeX:
    @inproceedings{Ren2012,
     address = {Brussels, Belgium},
     author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
    and Friedhelm Laubenstein},
     booktitle = {Sysid 2012, 16th IFAC Symposium on System
    Identification Brussels},
     doi = {10.3182/20120711-3-BE-2027.00137},
     editor = {IFAC},
     month = {11.-13. 07.2012},
     mrtnote = {peer, Drosselklappe},
     number = {1},
     organization = {IFAC},
     owner = {ren},
     pages = {1395-1400},
     publisher = {Elsevier Ltd.},
     timestamp = {2012.01.31},
     title = {On identification of piecewise-affine models for systems with friction and its application to electro-mechanical
    throttles},
     volume = {16},
     year = {2012}
    }
    
    
    Sommer, Hanns-Jakob, Schreiber, Lothar Is Logic in the Mind or in the World? Why a philosophical Question can affect the Understanding of Intelligence 2012 Journal of Artificial General Intelligence, Chaos, Solitons \& Fractals, vol. 3, no. 1, pp. 25-47, Elsevier Ltd., September  DOI , URL  
    BibTeX:
    @article{sommer2010ai,
     author = {Sommer, Hanns-Jakob and Schreiber, Lothar},
     booktitle = {Chaos, Solitons \& Fractals},
     doi = {10.2478/v10229-011-0014-4},
     editor = {M.S. El Naschie},
     journal = {Journal of Artificial General Intelligence},
     language = {english},
     month = {September},
     mrtnote = {peer},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2012-Sommer-JAGI-Is_Logic_Mind_World-PUB.pdf},
     number = {1},
     owner = {duerrbaum},
     pages = {25-47},
     publisher = {Elsevier Ltd.},
     timestamp = {2007.11.19},
     title = {Is Logic in the Mind or in the World? Why a philosophical Question can affect the Understanding of
    Intelligence},
     url = {https://versita.metapress.com/content/qm262485x7t156w8/fulltext.pdf},
     volume = {3},
     year = {2012}
    }
    
    
    Samuel Soldan, Jochen Welle, Thomas Barz and Andreas Kroll, Dirk Schulz Towards Autonomous Robotic Systems for Remote Gas Leak Detection and Localization in Industrial Environments 2012 Field and Service Robotics Results of the 8th International Conference, vol. 92, pp. 233-247, Springer Tracts in Advanced Robotics, Springer Berlin Heidelberg, Matsushima, Japan, 16 - 19 July  DOI , URL  
    Abstract: Detection and localization of escaped hazardous gases is of great industrial and public interest in order to prevent harm to humans, nature and assets or just to prevent financial losses. The development of novel leak-detection technologies will yield better coverage of inspected objects while helping to lower plant operation costs at the same time. Moreover, inspection personnel can be relieved from repetitive work and focus on value-adding supervisory control and optimization tasks. The proposed system consists of autonomous mobile inspection robots that are equipped with several remote gas sensing devices and local intelligence. Chain-driven all-terrain robots are used that can handle slopes, unpaved routes and offer maneuverability in restricted spaces as required for inspecting plants such as petroleum refineries, tank farms or chemical sites. The robots can detect and locate gas leaks autonomously to a great extent using infrared optical spectroscopic and thermal remote sensing techniques and data processing. This article gives an overview of the components of the robotic system prototype, i.e. the robotic platform and the remote sensing and evaluation module. The software architecture, including the robot middleware and the measurement routines, are described. Results from testing autonomous mobility and object inspection functions in a large test course are presented.
    BibTeX:
    @inproceedings{2012-fsr,
     abstract = {Detection and localization of escaped hazardous gases is of great industrial and public interest in order to prevent harm to humans, nature and assets or just to prevent financial losses. The development of novel leak-detection technologies will yield better coverage of inspected objects while helping to lower plant operation costs at the same time. Moreover, inspection personnel can be relieved from repetitive work and focus on value-adding supervisory control and optimization tasks. The proposed system consists of autonomous mobile inspection robots that are equipped with several remote gas sensing devices and local intelligence. Chain-driven all-terrain robots are used that can handle slopes, unpaved routes and offer maneuverability in restricted spaces as required for inspecting plants such as petroleum refineries, tank farms or chemical sites. The robots can detect and locate gas leaks autonomously to a great extent using infrared optical spectroscopic and thermal remote sensing techniques and data processing. This article gives an overview of the components of the robotic system prototype, i.e. the robotic platform and the remote sensing and evaluation module. The software architecture, including the robot middleware and the measurement routines, are described. Results from testing autonomous mobility and object inspection functions in a large test course are presented.},
     address = {Matsushima, Japan},
     author = {Samuel Soldan and Jochen Welle and Thomas Barz and
    Andreas Kroll and Dirk Schulz},
     booktitle = {Field and Service Robotics Results of the 8th
    International Conference},
     comment = {Konferenz:
    https://www.astro.mech.tohoku.ac.jp/FSR2011/},
     doi = {10.1007/978-3-642-40686-7_16},
     editor = {Kazuya Yoshida and Satoshi Tadokoro},
     isbn = {978-3-642-40685-0},
     month = {16 -- 19 July},
     mrtnote = {robogas, peer, thermofusion},
     owner = {soldan},
     pages = {233-247},
     publisher = {Springer Berlin Heidelberg},
     series = {Springer Tracts in Advanced Robotics},
     timestamp = {2012.03.30},
     title = {Towards Autonomous Robotic Systems for Remote Gas Leak Detection and Localization in Industrial Environments},
     url = {https://link.springer.com/chapter/10.1007/978-3-642-40686-7_16},
     volume = {92},
     year = {2012}
    }
    
    
    Samuel Soldan, Gero Bonow, Andreas Kroll RoboGasInspector - A Mobile Robotic System for Remote Leak Sensing and Localization in Large Industrial Environments: Overview and First Results 2012 Proceedings of the 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, pp. 33-38, Norwegian University of Science and Technology, Trondheim, Norway,, 31.05 - 01.06.  URL  
    Abstract: In order to automate the routine inspections in large industrial environments a mobile robotic system is being developed in the project RoboGasInspector. The robot's sensor-head consists of different instruments for remote sensing using multiple measurement principles. First results show that passive IRthermographic imaging can be used to detect leaks in pipes as well as liquid spills on the ground. The measurable effects are the temperature profile disturbance due to expansion of pressured gas and evaporative cooling, respectively. Tunable Diode Laser Absorption Spectroscopy (TDLAS) measurement systems provide for quantitative gas concentration measurements and feature a high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure just the concentration along a path at a time and require a diffusely reflecting background. Using a Pan-Tilt Unit, objects/areas can be scanned and discrete maps of the gas concentration can be created. This contribution introduces the project RoboGasInspector and presents the used measurement technology as well as first results
    BibTeX:
    @inproceedings{ifac-oilfield_2012,
     abstract = {In order to automate the routine inspections in large industrial environments a mobile robotic system is being developed in the project RoboGasInspector. The robot's sensor-head consists of different instruments for remote sensing using multiple measurement principles. First results show that passive IRthermographic imaging can be used to detect leaks in pipes as well as liquid spills on the ground. The measurable effects are the temperature profile disturbance due to expansion of pressured gas and evaporative cooling, respectively. Tunable Diode Laser Absorption Spectroscopy (TDLAS) measurement systems provide for quantitative gas concentration measurements and feature a high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure just the concentration along a path at a time and require a diffusely reflecting background. Using a Pan-Tilt Unit, objects/areas can be scanned and discrete maps of the gas concentration can be created. This contribution introduces the project RoboGasInspector and presents the used measurement technology as well as first results},
     address = {Norwegian University of Science and Technology,
    Trondheim, Norway,},
     author = {Samuel Soldan and Gero Bonow and Andreas Kroll},
     booktitle = {Proceedings of the 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas
    Production},
     file = {Paper_initial_submission:M\:\\Bibliothek\\MRT\\Publikationen\\ACOOG2012\\Submitted
    Version\\Soldan_Bonow_Kroll_RoboGasInspector_ACOOG_2012.pdf:PDF},
     month = {31.05 -- 01.06.},
     mrtnote = {robogas, peer, thermofusion},
     owner = {soldan},
     pages = {33-38},
     timestamp = {2011.11.28},
     title = {RoboGasInspector -- A Mobile Robotic System for Remote Leak Sensing and Localization in Large Industrial Environments: Overview and First
    Results},
     url = {https://www.sciencedirect.com/science/article/pii/S147466701537244X},
     year = {2012}
    }
    
    
    Samuel Soldan On extended depth of field to improve the quality of automated thermographic measurements in unknown environments 2012 Quantitative InfraRed Thermography Journal, vol. 9, no. 2, pp. 135-150, November  DOI , URL  
    Abstract: Focusing is essential for the quality of thermal imaging. But due to physical constraints, only a small distance area around the focal distance, called the depth of field (DOF), appears acceptably sharp in a single thermogram. For scenes containing multiple objects at different distances from the camera or one along the optical axis outstretched object, it is hard to have all parts of the image sharp within one measurement. This is impossible if the distance between the closest and the farthest region is larger than the DOF. This work describes a solution to get an all-in-focus measurement that works by taking a measurement series with different focal settings and combining the sharp parts using digital image processing. Different possibilities for this process are discussed and examples are given.
    BibTeX:
    @article{2012_QIRTJ,
     abstract = {Focusing is essential for the quality of thermal imaging. But due to physical constraints, only a small distance area around the focal distance, called the depth of field (DOF), appears acceptably sharp in a single thermogram. For scenes containing multiple objects at different distances from the camera or one along the optical axis outstretched object, it is hard to have all parts of the image sharp within one measurement. This is impossible if the distance between the closest and the farthest region is larger than the DOF. This work describes a solution to get an all-in-focus measurement that works by taking a measurement series with different focal settings and combining the sharp parts using digital image processing. Different possibilities for this process are discussed and examples are given.},
     author = {Samuel Soldan},
     comment = {https://www.tandfonline.com/doi/full/10.1080/17686733.2012.738110},
     doi = {10.1080/17686733.2012.738110},
     journal = {Quantitative InfraRed Thermography Journal},
     keywords = {extended depth of field; image processing; data fusion; data compaction;
    focusing},
     language = {english},
     month = {November},
     mrtnote = {robogas, peer, thermofusion},
     number = {2},
     owner = {soldan},
     pages = {135-150},
     timestamp = {2012.10.24},
     title = {On extended depth of field to improve the quality of automated thermographic measurements in unknown environments},
     url = {https://www.tandfonline.com/eprint/ExMpXXVKMsdiXZyF28Cr/full},
     volume = {9},
     year = {2012}
    }
    
    
    Chun Liu, Andreas Kroll On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman Problems 2012 International Symposium on Swarm Intelligence and Differential Evolution SIDE 2012, pp. 283-291, LNCS 7269, Zakopane, Poland, April 29 - May 3  DOI  
    BibTeX:
    @inproceedings{SIDE-EC-2012,
     address = {Zakopane, Poland},
     author = {Chun Liu and Andreas Kroll},
     booktitle = {International Symposium on Swarm Intelligence and Differential Evolution
    SIDE
    2012},
     doi = {https://dx.doi.org/10.1007/978-3-642-29353-5_33},
     editor = {Rutkowski, L. et al},
     file = {ICAISC2012 (SIDE2012):M\:\\Bibliothek\\MRT\\Publikationen\\ICAISC2012\\On
    Designing Genetic Algorithms for Solving Small- and
    Medium-Scale Traveling Salesman Problems.pdf:PDF},
     language = {english},
     month = {April 29 - May 3},
     mrtnote = {MultiRobot,peer},
     pages = {283-291},
     series = {LNCS 7269},
     timestamp = {2012.05.08},
     title = {On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman
    Problems},
     year = {2012}
    }
    
    
    Chun Liu, Andreas Kroll A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms 2012 11th International Conference on Artificial Intelligence and Soft Computing ICAISA 2012, pp. 466-474, LNCS 7268, Zakopane, Poland, April 29 - May 3  DOI  
    BibTeX:
    @inproceedings{ICAISC2012,
     address = {Zakopane, Poland},
     author = {Chun Liu and Andreas Kroll},
     booktitle = {11th International Conference on Artificial Intelligence and Soft Computing
    ICAISA
    2012},
     doi = {https://dx.doi.org/10.1007/978-3-642-29350-4_56},
     editor = {Rutkowski, L. et al},
     file = {ICAISC2012:M\:\\Bibliothek\\MRT\\Publikationen\\ICAISC2012\\A
    Centralized Multi-Robot Task Allocation for
    Industrial Plant Inspection by Using A and Genetic
    Algorithms.pdf:PDF},
     language = {english},
     month = {April 29 - May 3},
     mrtnote = {MultiRobot,peer},
     pages = {466-474},
     series = {LNCS 7268},
     timestamp = {2012.05.08},
     title = {A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms},
     year = {2012}
    }
    
    
    Barz, Thomas, Bonow, Gero, Hegenberg, Jens, Habib, Karim, Cramar, Liubov, Welle, Jochen, Schulz, Dirk, Kroll, Andreas, Schmidt, Ludger Unmanned Inspection of Large Industrial Environments - Insights into Research Project RoboGasInspector 2012 Future Security, vol. 318, pp. 216-219, Communications in Computer and Information Science, Springer Berlin Heidelberg, Bonn, 4th - 6th September  DOI , URL  
    Abstract: Industrial plants are a vital and common asset of modern society in a various number of ways. Safety of large industrial complexes that handle hazardous chemical materials is of utter importance to prevent harm to employees, general population, our natural environment and valuable infrastructure. Therefore, beside the plant owner's own financial interest to guarantee faultless and safe operation, legal regulations have to be adhered due to strong public interest as well. An important measure to ensure safety is the implementation of regular inspection tours by maintenance personnel, who examine the often widely-stretched process infrastructure on foot and locally search for signs of beginning leakage. The Research Project RoboGasInspector was started to develop new means of aiding with the fulfillment of this essential task. This article gives an insight into this ongoing research project, where autonomous mobile robotics is combined with laser-based remote gas detection technology in order to create a proof-of-concept inspection system prototype, which can relieve humans of this monotonous and highly repetitive work.
    BibTeX:
    @inproceedings{Barz2012,
     abstract = {Industrial plants are a vital and common asset of modern society in a various number of ways. Safety of large industrial complexes that handle hazardous chemical materials is of utter importance to prevent harm to employees, general population, our natural environment and valuable infrastructure. Therefore, beside the plant owner's own financial interest to guarantee faultless and safe operation, legal regulations have to be adhered due to strong public interest as well. An important measure to ensure safety is the implementation of regular inspection tours by maintenance personnel, who examine the often widely-stretched process infrastructure on foot and locally search for signs of beginning leakage. The Research Project RoboGasInspector was started to develop new means of aiding with the fulfillment of this essential task. This article gives an insight into this ongoing research project, where autonomous mobile robotics is combined with laser-based remote gas detection technology in order to create a proof-of-concept inspection system prototype, which can relieve humans of this monotonous and highly repetitive work.},
     address = {Bonn},
     author = {Barz, Thomas and Bonow, Gero and Hegenberg, Jens and Habib, Karim and Cramar, Liubov and Welle, Jochen and Schulz, Dirk and Kroll, Andreas and Schmidt, Ludger},
     booktitle = {Future Security},
     doi = {10.1007/978-3-642-33161-9_32},
     editor = {Aschenbruck, Nils and Martini, Peter and Meier,
    Michael and Tölle, Jens},
     isbn = {978-3-642-33160-2},
     keywords = {unmanned system, industrial inspection, mobile robot, plant safety, gas detection, leak localization, remote sensor technology, human-machine
    interface},
     language = {english},
     month = {4th -- 6th September},
     mrtnote = {robogas,peer},
     owner = {bonow},
     pages = {216--219},
     publisher = {Springer Berlin Heidelberg},
     series = {Communications in Computer and Information Science},
     timestamp = {2012.09.05},
     title = {Unmanned Inspection of Large Industrial Environments -- Insights into Research Project
    RoboGasInspector},
     url = {https://dx.doi.org/10.1007/978-3-642-33161-9_32},
     volume = {318},
     year = {2012}
    }
    
    
    Axel Dürrbaum, Andreas Kroll, Hanns Sommer CI-Methoden zur Koordination und Entkoppelung komplexer Systeme 2012 at - Automatisierungstechnik, vol. 60, no. 10, pp. 600-610  DOI  
    Abstract: Der Beitrag beschreibt die Konzeptentwicklung und das Auffinden von Koordinationsregeln für komplexe verkoppelte Systeme. Am Beispiel dieser Aufgabenstellung wird die Bedeutung der Computational Intelligence für die Systemtheorie erläutert.
    BibTeX:
    @article{at-CI_Entkopplung-ad_ak_hs_2012,
     abstract = {Der Beitrag beschreibt die Konzeptentwicklung und das Auffinden von Koordinationsregeln für komplexe verkoppelte Systeme. Am Beispiel dieser Aufgabenstellung wird die Bedeutung der Computational Intelligence für die Systemtheorie erläutert.},
     author = {Axel Dürrbaum and Andreas Kroll and Hanns Sommer},
     doi = {10.1524/auto.2012.1029},
     journal = {at -- Automatisierungstechnik},
     keywords = {Komplexe verkoppelte Systeme, Entkoppelung,
    CI-Methoden},
     language = {german},
     mrtnote = {peer},
     mrturla = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2012-Dürrbaum-at-CI_Entkopplung-PUB.pdf},
     mrturlb = {https://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Bibliothek/Publikationen/2012-Dürrbaum-at-CI_Entkopplung-PUB.pdf},
     number = {10},
     owner = {duerrbaum},
     pages = {600--610},
     timestamp = {2012.05.07},
     title = {CI-Methoden zur Koordination und Entkoppelung
    komplexer Systeme},
     volume = {60},
     year = {2012}
    }
    
    
    Ren, Zhenxing., Gerland, Patrick, Kroll, Andreas A Novel Friction-Identification Method using Sliding-Mode Observer and Its Application to Electro-Mechanical Throttles 2011 18th World Congress of the International Federation of Automatic Control (IFAC), pp. 4803-4808, Milano, Italy, IFAC, DVD-ROM, 28. Aug. - 2. Sep.   
    BibTeX:
    @inproceedings{Ren8IFAC2011,
     address = {Milano, Italy},
     author = {Ren, Zhenxing. and Gerland, Patrick and Kroll,
    Andreas},
     booktitle = {18th World Congress of the International Federation
    of Automatic Control (IFAC)},
     language = {english},
     month = {28. Aug. -- 2. Sep.},
     mrtnote = {peer, Drosselklappe},
     note = {DVD-ROM},
     organization = {IFAC},
     owner = {duerrbaum},
     pages = {4803-4808},
     timestamp = {2010.11.03},
     title = {A Novel Friction-Identification Method using Sliding-Mode Observer and Its Application to Electro-Mechanical
    Throttles},
     year = {2011}
    }
    
    
    Ren, Zhenxing, Kroll, Andreas, Sofsky, M. and Laubenstein, F. Zur automatisierten Modellbildung für mechatronische Systeme mit Reibung am Beispiel von Dieselfahrzeugstellgliedern 2011 VDI Mechatronik 2011, pp. 55-60, Dresden, VDI, 31.03-01.04.2011   
    BibTeX:
    @inproceedings{RenMechatronik2011,
     address = {Dresden},
     author = {Ren, Zhenxing and Kroll, Andreas and Sofsky, M. and
    Laubenstein, F.},
     booktitle = {VDI Mechatronik 2011},
     language = {german},
     month = {31.03-01.04.2011},
     mrtnote = {peer, Drosselklappe,pke},
     organization = {VDI},
     owner = {duerrbaum},
     pages = {55-60},
     timestamp = {2010.11.03},
     title = {Zur automatisierten Modellbildung für mechatronische Systeme mit Reibung am Beispiel von Dieselfahrzeugstellgliedern},
     year = {2011}
    }
    
    
    Kroll, Andreas, Dürrbaum, Axel On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling Procedure 2011 CICA 2011 IEEE Symposium on Computational Intelligence in Control and Automation, pp. 23 - 30, Paris, France, IEEE Symposium Series on Computational Intelligence, April 11-15  URL  
    Abstract: Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency.
    BibTeX:
    @inproceedings{KrollSSCI2011TSK,
     abstract = {Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on "model suitability for control" for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency.},
     address = {Paris, France},
     author = {Kroll, Andreas and Dürrbaum, Axel},
     booktitle = {CICA 2011 IEEE Symposium on Computational
    Intelligence in Control and Automation},
     keywords = {Nonlinear dynamic modeling, Takagi-Sugeno systems,
    modeling for control},
     language = {english},
     month = {April 11-15},
     mrtnote = {peer, FuzzyIdControl, talk:Dürrbaum},
     organization = {IEEE Symposium Series on Computational Intelligence},
     pages = {23 -- 30},
     title = {On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling
    Procedure},
     url = {https://www.ieee-ssci.org/},
     year = {2011}
    }
    
    
    Kroll, Andreas Zur regelungsorientierten Ableitung von Takagi-Sugeno-Modellen 2011 Automatisierungstechnik, vol. 59, no. 12, pp. 705 - 719, December  DOI , URL  
    Abstract: Die Erstellung und Bewertung von Modellen orientiert sich i. d. R. am Prädiktionsfehler oder an der Approximationsgüte unabhängig vom Einsatzzweck eines Modells. Dies liegt an den üblichen Methoden sowie daran, dass Modellbildung und Reglerentwurf häuffig von unterschiedlichen Spezialisten durchgeführt werden. Da selten ein exaktes Modell erstellt werden kann, sollten die Freiheitsgrade bei der Modellbildung genutzt werden, um ein für die geplante Anwendung optimiertes Modell zu erhalten. Beim modellbasierten Reglerentwurf ist die Prädiktionsgüte eines Modells kein primäres Kriterium; vielmehr sollte das Modell gut für den Reglerentwurf geeignet sein. Diese Einsicht führte im Bereich der linearen Systemidentidentifikation zu neuen Methoden. In diesem Beitrag wird eine Methodik zur Ableitung regelungsorientierter Takagi-Sugeno-Fuzzy-Modelle aus physikalischen Modellen vorgestellt und am Benchmark-Beispiel des inversen Pendes demonstriert.
    BibTeX:
    @article{KrollAT2011,
     abstract = {Die Erstellung und Bewertung von Modellen orientiert sich i. d. R. am Prädiktionsfehler oder an der Approximationsgüte unabhängig vom Einsatzzweck eines Modells. Dies liegt an den üblichen Methoden sowie daran, dass Modellbildung und Reglerentwurf häuffig von unterschiedlichen Spezialisten durchgeführt werden. Da selten ein exaktes Modell erstellt werden kann, sollten die Freiheitsgrade bei der Modellbildung genutzt werden, um ein für die geplante Anwendung optimiertes Modell zu erhalten. Beim modellbasierten Reglerentwurf ist die Prädiktionsgüte eines Modells kein primäres Kriterium; vielmehr sollte das Modell gut für den Reglerentwurf geeignet sein. Diese Einsicht führte im Bereich der linearen Systemidentidentifikation zu neuen Methoden. In diesem Beitrag wird eine Methodik zur Ableitung regelungsorientierter Takagi-Sugeno-Fuzzy-Modelle aus physikalischen Modellen vorgestellt und am Benchmark-Beispiel des inversen Pendes demonstriert.},
     author = {Kroll, Andreas},
     doi = {10.1524/auto.2011.0964},
     journal = {Automatisierungstechnik},
     keywords = {Takagi-Sugeno-Fuzzy-Systeme, regelungsorientierte Modellbildung, nichtlineare Modellbildung, inverses Pendel},
     language = {german},
     month = {December},
     mrtnote = {peer, FuzzyIdControl},
     number = {12},
     pages = {705 -- 719},
     timestamp = {2007.12.14},
     title = {Zur regelungsorientierten Ableitung von
    Takagi-Sugeno-Modellen},
     url = {https://www.oldenbourg-link.com/doi/abs/10.1524/auto.2011.0964},
     volume = {59},
     year = {2011}
    }
    
    
    Andreas Kroll, Samuel Soldan On Data-driven Takagi-Sugeno Modelling of Heterogeneous Systems with Multidimensional Membership Functions 2011 18th World Congress of the International Federation of Automatic Control (IFAC), pp. 14994-14999, Milano, Italy, 28. Aug. - 2. Sep.  URL  
    Abstract: In case of a structural mismatch between a Takagi-Sugeno model and a nonlinear system that is to be modelled, identification algorithms tend to compensate this by a finer granular partitioning. This is in conflict with the objective of parsimonious models. A novel TS model type with multi-dimensional fuzzy sets and locally adjustable/heterogeneous fuzziness is presented with a method for the adjustment. This new approach enhances the structural flexibility of the model while the number of parameters increases negligibly. Two case studies, including compressor modelling, illustrate the performance of the proposed method.
    BibTeX:
    @inproceedings{2011IFACKroll_Soldan,
     abstract = {In case of a structural mismatch between a Takagi-Sugeno model and a nonlinear system that is to be modelled, identification algorithms tend to compensate this by a finer granular partitioning. This is in conflict with the objective of parsimonious models. A novel TS model type with multi-dimensional fuzzy sets and locally adjustable/heterogeneous fuzziness is presented with a method for the adjustment. This new approach enhances the structural flexibility of the model while the number of parameters increases negligibly. Two case studies, including compressor modelling, illustrate the performance of the proposed method.},
     address = {Milano, Italy},
     author = {Andreas Kroll and Samuel Soldan},
     booktitle = {18th World Congress of the International Federation
    of Automatic Control (IFAC)},
     file = {Initial Submission:M\:\\Veroeffentlichungen\\Publikationen\\IFAC2011\\266
    -
    InhomDicsontiIdentification\\initial_submission.pdf:PDF},
     language = {english},
     month = {28. Aug. - 2. Sep.},
     mrtnote = {peer, FuzzyIdControl},
     owner = {soldan},
     pages = {14994-14999},
     timestamp = {2010.11.08},
     title = {On Data-driven Takagi-Sugeno Modelling of Heterogeneous Systems with Multidimensional Membership
    Functions},
     url = {https://www.ifac2011.org/},
     year = {2011}
    }
    
    
    Andreas Kroll On choosing the fuzziness parameter for identifying TS models with multidimensional membership functions 2011 Journal of Artificial Intelligence and Soft Computing Research, vol. 1, no. 4, pp. 283-300  URL  
    Abstract: Fuzzy clustering is a well-established method for identifying the structure/fuzzy partitioning of Takagi-Sugeno (TS) fuzzy models. The clustering algorithms require choosing the fuzziness parameter m. Prior work in the area of pattern recognition shows, that a suitable choice of m is application-dependent. Yet, the default of m=2 is commonly chosen. This paper examines the suitable choice of m for identifying TS models. The focus is on models that use the classifiers resulting from fuzzy clustering as multi-dimensional membership functions or their projection and approximation. At first, the differentiability and grouping properties of the fuzzy classifiers are analyzed to make a general recommendation of choosing m(1;3). Besides, the effect of the cluster number c on the classification fuzziness is examined. Finally, requirements that are specific to TS modeling are introduced, which narrow down the suitable range for m. Building on algorithm analysis and four case studies (function approximation, a vehicle engine and an axial compressor application for nonlinear regression), it is demonstrated that choosing m(1;1.3) for local and mâ(1;1.5) for global estimation will typically provide for good results.
    BibTeX:
    @article{Kroll2011JAISCR,
     abstract = {Fuzzy clustering is a well-established method for identifying the structure/fuzzy partitioning of Takagi-Sugeno (TS) fuzzy models. The clustering algorithms require choosing the fuzziness parameter m. Prior work in the area of pattern recognition shows, that a suitable choice of m is application-dependent. Yet, the default of m=2 is commonly chosen. This paper examines the suitable choice of m for identifying TS models. The focus is on models that use the classifiers resulting from fuzzy clustering as multi-dimensional membership functions or their projection and approximation. At first, the differentiability and grouping properties of the fuzzy classifiers are analyzed to make a general recommendation of choosing m(1;3). Besides, the effect of the cluster number c on the classification fuzziness is examined. Finally, requirements that are specific to TS modeling are introduced, which narrow down the suitable range for m. Building on algorithm analysis and four case studies (function approximation, a vehicle engine and an axial compressor application for nonlinear regression), it is demonstrated that choosing m(1;1.3) for local and mâ(1;1.5) for global estimation will typically provide for good results.},
     author = {Andreas Kroll},
     comment = {ISSN 2083-2567},
     journal = {Journal of Artificial Intelligence and Soft
    Computing Research},
     language = {english},
     mrtnote = {peer},
     number = {4},
     owner = {duerrbaum},
     pages = {283-300},
     timestamp = {2011.08.17},
     title = {On choosing the fuzziness parameter for identifying {TS} models with multidimensional membership functions},
     url = {https://jaiscr.eu/issues/jaiscr_vol1_no4_2011.pdf},
     volume = {1},
     year = {2011}
    }
    
    
    Zhenxing Ren, Andreas Kroll, Manfried Sofsky and Friedhelm Laubenstein On methods for automated modeling of dynamic systems with friction and their application to electro-mechanical throttles 2010 49th IEEE Conference on Decision and Control, pp. 7637-7642, Atlanta, USA, IEEE, DVD-ROM, December 15-17  URL  
    BibTeX:
    @inproceedings{IEEERen2010,
     address = {Atlanta, USA},
     author = {Zhenxing Ren and Andreas Kroll and Manfried Sofsky
    and Friedhelm Laubenstein},
     booktitle = {49th IEEE Conference on Decision and Control},
     language = {english},
     month = {December 15-17},
     mrtnote = {peer,Drosselklappe},
     note = {DVD-ROM},
     organization = {IEEE},
     owner = {duerrbaum},
     pages = {7637-7642},
     timestamp = {2010.06.14},
     title = {On methods for automated modeling of dynamic systems with friction and their application to electro-mechanical
    throttles},
     url = {https://www.ieeecss.org/CAB/conferences/cdc2010/},
     year = {2010}
    }
    
    
    Schulte, Host, Gerland, Patrick Observer-based estimation of pressure signals in hydrostatic transmissions 2010 IFAC Symposium Advances in Automotive Control (AAC), Munich, Germany, IFAC, July, 11 - 14   
    Abstract: Hydrostatic transmissions, also called hydrostatic gears, have been widely used in mobile working machines and off-road vehicles such as construction and agricultural machines. This kind of transmission offers important advantages like continuously variable transmission with high power density, maximum tractive force at low speeds and reversing without changing gear. The automatic electronic control of hydrostatic transmissions, which depend on a number of measurable values, has become more common in industrial practice. To ensure the reliability and safety at least a two-channel redundant system for the measuring channels is required. In this paper, a general model-based approach using a Takagi-Sugeno (T-S) fuzzy observer for analytical redundancy of the oil pressure measuring process in hydrostatic transmissions is developed. It has been shown by experimental results that this approach can be used to estimate the pressure values under varying load conditions and different driving situations.
    BibTeX:
    @inproceedings{Schulte2010AAC,
     abstract = {Hydrostatic transmissions, also called hydrostatic gears, have been widely used in mobile working machines and off-road vehicles such as construction and agricultural machines. This kind of transmission offers important advantages like continuously variable transmission with high power density, maximum tractive force at low speeds and reversing without changing gear. The automatic electronic control of hydrostatic transmissions, which depend on a number of measurable values, has become more common in industrial practice. To ensure the reliability and safety at least a two-channel redundant system for the measuring channels is required. In this paper, a general model-based approach using a Takagi-Sugeno (T-S) fuzzy observer for analytical redundancy of the oil pressure measuring process in hydrostatic transmissions is developed. It has been shown by experimental results that this approach can be used to estimate the pressure values under varying load conditions and different driving situations.},
     address = {Munich, Germany},
     author = {Schulte, Host and Gerland, Patrick},
     booktitle = {IFAC Symposium Advances in Automotive Control (AAC)},
     editor = {IFAC},
     keywords = {observer design, failure detection, hydraulic
    systems},
     language = {english},
     month = {July, 11 - 14},
     mrtnote = {peer},
     organization = {IFAC},
     owner = {duerrbaum},
     timestamp = {2010.06.14},
     title = {Observer-based estimation of pressure signals in
    hydrostatic transmissions},
     year = {2010}
    }
    
    
    Gerland, Patrick, Gross, Dominic, Schulte, Horst, Kroll, Andreas Design of Sliding Mode Observers for TS Fuzzy Systems with Application to Disturbance and Actuator Fault Estimation 2010 49th IEEE Conference on Decision and Control, pp. 4373 - 4378, Atlanta, USA, IEEE, DVD-ROM, December 15 - 17  URL  
    Abstract: In this paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Necessary conditions for the existence of the robust observer are derived from sliding mode theory . Stability is ensured by linear matrix inequality (LMI) based sufficient conditions. An illustrative example demonstrates the effectiveness of the proposed scheme.
    BibTeX:
    @inproceedings{Gerland2010CDC,
     abstract = {In this paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Necessary conditions for the existence of the robust observer are derived from sliding mode theory . Stability is ensured by linear matrix inequality (LMI) based sufficient conditions. An illustrative example demonstrates the effectiveness of the proposed scheme.},
     address = {Atlanta, USA},
     author = {Gerland, Patrick and Gross, Dominic and Schulte,
    Horst and Kroll, Andreas},
     booktitle = {49th IEEE Conference on Decision and Control},
     comment = {DVD-ROM},
     language = {english},
     month = {December 15 -- 17},
     mrtnote = {peer},
     note = {DVD-ROM},
     organization = {IEEE},
     owner = {duerrbaum},
     pages = {4373 -- 4378},
     timestamp = {2010.04.13},
     title = {Design of Sliding Mode Observers for TS Fuzzy Systems with Application to Disturbance and Actuator Fault
    Estimation},
     url = {https://www.ieeecss.org/CAB/conferences/cdc2010/},
     year = {2010}
    }
    
    
    Gerland, Patrick, Gross, Dominic, Schulte, Horst, Kroll, Andreas Robust Adaptive Fault Detection Using Global State Information and Application to Mobile Working Machines 2010 Conference on Control and Fault-Tolerant Systems (SysTol), pp. 813 - 818, Nice, France, October 6 - 8   
    Abstract: In this paper, an observer-based fault detection approach for a class of nonlinear systems is presented, which can be modeled by Takagi-Sugeno (TS) fuzzy models. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach [5]. Furthermore an adaption scheme based on pattern recognition algorithms is presented. It allows to deal with situational uncertainties, which affect the system, by adapting the fault sensitivity. An extensive simulation of a mobile working machine is used to demonstrate the effectiveness of the proposed scheme.
    BibTeX:
    @inproceedings{Gerland2010SysTol,
     abstract = {In this paper, an observer-based fault detection approach for a class of nonlinear systems is presented, which can be modeled by Takagi-Sugeno (TS) fuzzy models. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach [5]. Furthermore an adaption scheme based on pattern recognition algorithms is presented. It allows to deal with situational uncertainties, which affect the system, by adapting the fault sensitivity. An extensive simulation of a mobile working machine is used to demonstrate the effectiveness of the proposed scheme.},
     address = {Nice, France},
     author = {Gerland, Patrick and Gross, Dominic and Schulte,
    Horst and Kroll, Andreas},
     booktitle = {Conference on Control and Fault-Tolerant Systems
    (SysTol)},
     comment = {DVD-ROM},
     editor = {IEEE},
     language = {english},
     month = {October 6 -- 8},
     mrtnote = {peer},
     owner = {duerrbaum},
     pages = {813 -- 818},
     timestamp = {2010.06.14},
     title = {Robust Adaptive Fault Detection Using Global State Information and Application to Mobile Working Machines},
     year = {2010}
    }
    
    
    Andreas Kroll, Samuel Soldan Survey Results on Status, Needs and Perspectives for using Mobile Service Robots in Industrial Applications 2010 11th International Conference on Control, Automation Robotics and Vision (ICARCV 2010), pp. 621-626, Singapore, 7. - 10. Dec.  URL  
    Abstract: Mobile robots for carrying out service tasks in industrial plants and on infrastructure gain importance e.g. due to aging assets and demographics. In order to identify key areas requiring research and development activities, a questionnairebased online survey was conducted in 2009. Addressed were participants working in industry knowing best about needs, potentials, obstacles and pitfalls of applying mobile service robots in their companies/industrial sector. This paper presents the surveying methods and the obtained results which mainly cover chemical and automotive industries due to their world-wide economic significance as well as their research and innovation intensity.
    BibTeX:
    @inproceedings{ICARCV2010_Kroll_Soldan,
     abstract = {Mobile robots for carrying out service tasks in industrial plants and on infrastructure gain importance e.g. due to aging assets and demographics. In order to identify key areas requiring research and development activities, a questionnairebased online survey was conducted in 2009. Addressed were participants working in industry knowing best about needs, potentials, obstacles and pitfalls of applying mobile service robots in their companies/industrial sector. This paper presents the surveying methods and the obtained results which mainly cover chemical and automotive industries due to their world-wide economic significance as well as their research and innovation intensity.},
     address = {Singapore},
     author = {Andreas Kroll and Samuel Soldan},
     booktitle = {11th International Conference on Control, Automation
    Robotics and Vision (ICARCV
    2010)},
     file = {Präsentation:M\:\\Veroeffentlichungen\\Publikationen\\ICARCV2010\\P0272_ICARCV2010_Soldan_V2010-11-30-V2.pptx:PowerPoint;Aufsatz:M\:\\Veroeffentlichungen\\Publikationen\\ICARCV2010\\Final-Submission_P0272.pdf:PDF},
     language = {english},
     month = {7. - 10. Dec.},
     mrtnote = {robogas, peer},
     owner = {soldan},
     pages = {621-626},
     timestamp = {2010.06.30},
     title = {Survey Results on Status, Needs and Perspectives for using Mobile Service Robots in Industrial Applications},
     url = {https://www.icarcv.org/2010/},
     year = {2010}
    }
    
    
    Lothar Schreiber, Hanns Sommer Can Mathematics be justified by Natural Logic? 2009 Computing Anticipatory Systems, Computing Anticipatory Systems, vol. 1303, pp. 189-198, AIP Conference Proceedings   
    BibTeX:
    @inproceedings{SchreiberCAS2009,
     author = {Lothar Schreiber and Hanns Sommer},
     booktitle = {Computing Anticipatory Systems},
     editor = {Daniel M. Dubois},
     journal = {Computing Anticipatory Systems},
     language = {english},
     mrtnote = {peer},
     owner = {duerrbaum},
     pages = {189-198},
     series = {AIP Conference Proceedings},
     timestamp = {2009.07.01},
     title = {Can Mathematics be justified by Natural Logic?},
     volume = {1303},
     year = {2009}
    }
    
    
    Horst Schulte, Patrick Gerland Observer Design using T-S Fuzzy Systems for pressure estimation in hydrostatic transmissions 2009 International Conference on Intelligent Systems Design and Applications (ISDA '09 ), Pisa, Italy, November 30 - December 2   
    BibTeX:
    @inproceedings{SchulteGerlandISDA2009,
     address = {Pisa, Italy},
     author = {Horst Schulte and Patrick Gerland},
     booktitle = {International Conference on Intelligent Systems Design and Applications (ISDA '09
    )},
     language = {english},
     month = {November 30 -- December 2},
     mrtnote = {peer},
     owner = {duerrbaum},
     timestamp = {2009.07.01},
     title = {Observer Design using T-S Fuzzy Systems for pressure estimation in hydrostatic
    transmissions},
     year = {2009}
    }
    
    
    Gerland, Patrick, Schulte, Horst, Kroll, Andreas Probability-based global state detection of complex technical systems and application to mobile working machines 2009 European Control Conference (ECC), pp. 1269 - 1274, IEEE, Budapest, Hungary, August 23 - 26   
    Abstract: Frequently, the increasing level of automation requires a systematic consideration of numerous interacting components influenced by internal feedback mechanisms as well as interactions with human operators under varying environmental conditions. This places demands on modeling, which in general cannot be satisfied by traditional modeling concepts. In this paper, a model approach for complex technical systems is developed, which consists of two language layers. The first layer takes the physical knowledge of the technical system into account. The second one uses stochastic models in combination with superordinate higher-level terms to formulate properties concerning the overall system. By means of a case study dealing with the automation of mobile working machines, it is shown that this approach can be used to recognize driving situations under varying environmental conditions.
    BibTeX:
    @inproceedings{Gerland2009ECC,
     abstract = {Frequently, the increasing level of automation requires a systematic consideration of numerous interacting components influenced by internal feedback mechanisms as well as interactions with human operators under varying environmental conditions. This places demands on modeling, which in general cannot be satisfied by traditional modeling concepts. In this paper, a model approach for complex technical systems is developed, which consists of two language layers. The first layer takes the physical knowledge of the technical system into account. The second one uses stochastic models in combination with superordinate higher-level terms to formulate properties concerning the overall system. By means of a case study dealing with the automation of mobile working machines, it is shown that this approach can be used to recognize driving situations under varying environmental conditions.},
     address = {Budapest, Hungary},
     author = {Gerland, Patrick and Schulte, Horst and Kroll,
    Andreas},
     booktitle = {European Control Conference (ECC)},
     comment = {DVD-ROM},
     isbn = {978-963-311-369-1},
     keywords = {Complex systems; Machine learning; Automotive},
     language = {english},
     month = {August 23 -- 26},
     mrtnote = {peer},
     owner = {duerrbaum},
     pages = {1269 -- 1274},
     publisher = {IEEE},
     timestamp = {2008.12.09},
     title = {Probability-based global state detection of complex technical systems and application to mobile working machines},
     year = {2009}
    }
    
    
    Baetz, Werner, Kroll, Andreas, Bonow, Gero Mobile Robots with Active IR-Optical Sensing for Remote Gas Detection and Source Localization 2009 IEEE International Conference on Robotics and Automation (ICRA 2009), pp. 2773-2778, IEEE, Kobe, Japan, IEEE Catalog Number: CFP09RAA-DVD, May 12-17  URL  
    BibTeX:
    @inproceedings{Baetz2009ICRA,
     address = {Kobe, Japan},
     author = {Baetz, Werner and Kroll, Andreas and Bonow, Gero},
     booktitle = {IEEE International Conference on Robotics and
    Automation (ICRA 2009)},
     editor = {Kazuhiro Kosuge, Katsushi Ikeuchi},
     file = {Proceediongs-DVD:https\://mrt-pc1.mrt.maschinenbau.uni-kassel.de/MRT/Veroeffentlichungen/Bibliothek/Konferenzen/ICRA2009
    Proceedings (D)/data/papers/0417.pdf:URL},
     isbn = {978-1-4244-2789-5},
     issn = {1050-4729},
     language = {english},
     month = {May 12-17},
     mrtnote = {robogas, peer},
     note = {IEEE Catalog Number: CFP09RAA-DVD},
     owner = {baetz},
     pages = {2773--2778},
     publisher = {IEEE},
     timestamp = {2008.12.09},
     title = {Mobile Robots with Active IR-Optical Sensing for Remote Gas Detection and Source
    Localization},
     url = {https://ieeexplore.ieee.org/abstract/document/5152338},
     year = {2009}
    }
    
    
    Kroll, Andreas A survey on mobile robots for industrial inspections 2008 Int. Conf. on Intelligent Autonomous Systems (IAS10), pp. 406-414, Baden-Baden, Germany, 23. - 25. July   
    BibTeX:
    @inproceedings{KrollIIAS2008,
     address = {Baden-Baden, Germany},
     author = {Kroll, Andreas},
     booktitle = {Int. Conf. on Intelligent Autonomous Systems
    (IAS10)},
     language = {english},
     month = {23. - 25. July},
     mrtnote = {robogas, peer},
     owner = {duerrbaum},
     pages = {406-414},
     timestamp = {2008.07.30},
     title = {A survey on mobile robots for industrial
    inspections},
     year = {2008}
    }
    
    
    Dürrbaum, Axel, Scherm, Wolfgang, Sommer, Hanns Systemidentifikation mittels Glaubenskalkül 2008 at - Automatisierungstechnik, vol. 56, no. 7, pp. 350-356, Juli  DOI , URL  
    Abstract: Im vorliegenden Aufsatz wird im ersten Abschnitt auf die grundlegende Vorgehensweise zur Systemidentifikation eingegangen, um deren Probleme aufzuzeigen. Im zweiten Abschnitt wird das algorithmische Verfahren zur glaubensbasierten Identifikation hergeleitet. Dabei soll insbesondere der Nachweis geführt werden, dass hier im Gegensatz zu Identifikationsverfahren, die auf der Wahrscheinlichkeitstheorie basieren, alle Freiheitsgrade mittels Anwenderanforderungen eindeutig festgelegt werden können. Im dritten Abschnitt wird das Verfahren zur Prognose des Haltbarkeitsendes der Werkzeuge beim Gewindebohren eingesetzt.
    BibTeX:
    @article{DuerrbaumSommerGlaubenskalkuelAT2008,
     abstract = {Im vorliegenden Aufsatz wird im ersten Abschnitt auf die grundlegende Vorgehensweise zur Systemidentifikation eingegangen, um deren Probleme aufzuzeigen. Im zweiten Abschnitt wird das algorithmische Verfahren zur glaubensbasierten Identifikation hergeleitet. Dabei soll insbesondere der Nachweis geführt werden, dass hier im Gegensatz zu Identifikationsverfahren, die auf der Wahrscheinlichkeitstheorie basieren, alle Freiheitsgrade mittels Anwenderanforderungen eindeutig festgelegt werden können. Im dritten Abschnitt wird das Verfahren zur Prognose des Haltbarkeitsendes der Werkzeuge beim Gewindebohren eingesetzt.},
     author = {Dürrbaum, Axel and Scherm, Wolfgang and Sommer,
    Hanns},
     doi = {DOI 10.1524/auto.2008.0716},
     journal = {at -- Automatisierungstechnik},
     language = {german},
     month = {Juli},
     mrtnote = {peer},
     number = {7},
     owner = {duerrbaum},
     pages = {350-356},
     timestamp = {2008.07.21},
     title = {Systemidentifikation mittels Glaubenskalkül},
     url = {https://www.atypon-link.com/OLD/doi/pdf/10.1524/auto.2008.0716},
     volume = {56},
     year = {2008}
    }
    
    
    Kroll, Andreas On the use of computer-based training for operators in Germany and the USA - survey results 2006 Automatisierungstechnische Praxis, vol. 48, no. 9, pp. 45-49, September   
    BibTeX:
    @article{kroll2006d,
     author = {Kroll, Andreas},
     journal = {Automatisierungstechnische Praxis},
     language = {english},
     month = {September},
     mrtnote = {peer},
     number = {9},
     owner = {liebermann},
     pages = {45-49},
     timestamp = {2007.12.14},
     title = {On the use of computer-based training for operators in Germany and the USA - survey
    results},
     volume = {48},
     year = {2006}
    }
    
    
    Kroll, Andreas Assessment and opportunity screening regarding automation systems and working practices in the process industry 2006 Automatisierungstechnische Praxis, vol. 48, no. 8, pp. 42-49, August   
    BibTeX:
    @article{kroll2006c,
     author = {Kroll, Andreas},
     journal = {Automatisierungstechnische Praxis},
     language = {english},
     month = {August},
     mrtnote = {peer},
     number = {8},
     owner = {liebermann},
     pages = {42-49},
     timestamp = {2007.12.14},
     title = {Assessment and opportunity screening regarding automation systems and working practices in the process
    industry},
     volume = {48},
     year = {2006}
    }
    
    
    Kroll, Andreas Computer-based training "control performance monitoring" for personnel of process plants 2006 Automatisierungstechnische Praxis, vol. 48, no. 5, pp. 71-78, May   
    BibTeX:
    @article{kroll2006b,
     author = {Kroll, Andreas},
     journal = {Automatisierungstechnische Praxis},
     language = {english},
     month = {May},
     mrtnote = {peer},
     number = {5},
     owner = {liebermann},
     pages = {71-78},
     timestamp = {2007.12.14},
     title = {Computer-based training "control performance monitoring" for personnel of process
    plants},
     volume = {48},
     year = {2006}
    }
    
    

    Created by JabRef on 17.05.24.