1. Guilherme da Fonseca Pereira, Goran Jelicic, Andreas Kroll: Spatio-temporal temperature models for growing 2D workpieces during Direct Laser Deposition with emissivity compensation, 8th IEEE Conference on Control Technology and Applications (CCTA), 2024 2. 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, IEEE Sensors 2023, 10.1109/SENSORS56945.2023.10324883, https://ieeexplore.ieee.org/document/10324883, 2023 3. Miguel Mendez, Sebastian Schramm, Robert Schmoll, Andreas Kroll: Integration and Evaluation of a High-Precision MotionCam-3D into a 3D Thermography System, Journal of Sensors and Sensor Systems (JSSS), 2023 4. Lars Kistner, Robert Schmoll, Andreas Kroll: An airborne measurement system to detect, locate, and quantify methane emissions with attitude-based wind speed estimation, Journal of Sensors and Sensor Systems (JSSS), 2023 5. Guilherme da Fonseca Pereira, Goran Jelicic, Andreas Kroll: Spatio-temporal {LPV} model of {2D} workpiece temperature for Direct Laser Deposition, IFAC-PapersOnLine, 56, 2, 6606--6611, 22nd IFAC World Congress, 10.1016/j.ifacol.2023.10.359, https://www.sciencedirect.com/science/article/pii/S2405896323007267, 2023 6. Felix Wittich, Andreas Kroll: Data driven Structure Identification of Takagi Sugeno Fuzzy Models Using a Bounded Error Approach, Proceedings of the IEEE International Conference on Fuzzy Systems, 10.1109/FUZZ52849.2023.10309735, https://ieeexplore.ieee.org/document/10309735, 2023 7. Axel Dürrbaum, Farzad Rezazadeh, Andreas Kroll: Automatic Camera-based advanced Slump FlowTesting for Improved Reliability, IEEE Sensors 2023, 10.1109/SENSORS56945.2023.10325030, https://ieeexplore.ieee.org/document/10325030, 2023 8. 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, HTM Journal of Heat Treatment and Materials, 77, 2, 156 -- 172, https://doi.org/10.1515/htm-2021-0023, 2022 9. Matthias Himmelsbach, Andreas Kroll: Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen, at -- Automatisierungstechnik, 70, 2, 119--133, 10.1515/auto-2021-0043, 2022 10. 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, Additive Manufacturing, 55, Elsevier, https://doi.org/10.1016/j.addma.2022.102858, https://www.sciencedirect.com/science/article/pii/S2214860422002573, 2022 11. 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, IFAC-PapersOnLine, 6th IEEE Conference on Control Technology and Applications (CCTA), 53, 1427-1432, Elsevier, 2022 12. Alexander Rehmer, Andreas Kroll: On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks, IFAC-PapersOnLine, Proceedings of the 26th International Conference on System Theory Control and Computing (ICSTCC), 446-451, 2022 13. Alexander Rehmer, Andreas Kroll: A Deep Recurrent Neural Network model for affine quasi-LPV System identification, Preprints of the 20th European Control Conference (ECC), 566-571, 2022 14. Sören Dierks, Andreas Kroll: Remote quantification of methane leaks in the laboratory and in biogas plants, International Journal of Remote Sensing, 42, 20, 7978–-8003, https://doi.org/10.1080/01431161.2021.1959956, 2021 15. 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, Journal of Sensors and Sensor Systems (JSSS), 10, 207--218, 10.5194/jsss-10-207-2021, https://jsss.copernicus.org/articles/10/207/2021/, 2021 16. 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, IEEE Sensors Journal, 21, 2, 2159-2168, 10.1109/JSEN.2020.3019959, https://ieeexplore.ieee.org/document/9178752, 2021 17. Schramm, Sebastian, Osterhold, Phil, Schmoll, Robert, Kroll, Andreas: Combining Modern 3D Reconstruction and Thermal Imaging: Generation of Large-Scale 3D Thermograms in Real-Time, Quantitative InfraRed Thermography Journal, 19, 5, 295--311, 10.1080/17686733.2021.1991746, 2021 18. Matthias Himmelsbach, Andreas Kroll: On optimal test signal design and parameter identification schemes for dynamic {T}akagi-{S}ugeno fuzzy models using the {F}isher information matrix, International Journal of Fuzzy Systems, 24, 2, 1012--1024, 10.1007/s40815-021-01185-9, 2021 19. Kahl, Matthias, Schramm, Sebastian, Neumann, Max, Kroll, Andreas: Identification of a Spatio-Temporal Temperature Model for Laser Metal Deposition, Metals, November, 12, Multidisciplinary Digital Publishing Institute, 10.3390/met11122050, https://www.mdpi.com/2075-4701/11/12/2050, 2021 20. J. Rangel, R. Schmoll, A. Kroll: Catadioptric Stereo Optical Gas Imaging System for Scene Flow Computation of Gas Structures, IEEE Sensors Journal, 21, 5, 6811 -- 6820, https://doi.org/10.1109/JSEN.2020.3042116, https://ieeexplore.ieee.org/document/9277592, 2021 21. Felix Wittich, Andreas Kroll: Evaluation of methods for feasible parameter set estimation of Takagi-Sugeno models for nonlinear regression with bounded errors, at -- Automatisierungstechnik, 69, 10, 836--847, https://www.degruyter.com/document/doi/10.1515/auto-2020-0157/html, 2021 22. Christopher Schott, Felix Wittich, Andreas Kroll, Thomas Niendorf: Prediction of near surface residual stress states for hard turned specimens using data driven nonlinear models, Procedia CIRP, 101, 1-4, 10.1016/j.procir.2020.10.002, https://www.sciencedirect.com/science/article/pii/S2212827121006429, 2021 23. Andreas Kroll, Jana Fischer: Zur approximativen Maximum-Likelihood-Schätzung dynamischer Multi-Modelle vom Typ Takagi-Sugeno: Methodik und Anwendung auf einen Servo-Pneumatikantrieb, at -- Automatisierungstechnik, 69, 10, 858--869, https://doi.org/10.1515/auto-2020-0142, 2021 24. Sören Dierks, Andreas Kroll: Evaluierung von Verfahren zur optischen Bestimmung von Gasgeschwindigkeiten, TM -- Technisches Messen, 87, 1, 66--77, 10.1515/teme-2019-0078, https://www.degruyter.com/view/j/teme.ahead-of-print/teme-2019-0078/teme-2019-0078.xml, 2020 25. Matthias Kahl, Andreas Kroll: Extending Regularized Least Squares Support Vector Machines for Order Selection of Dynamical Takagi-Sugeno Models, IFAC-PapersOnLine, 21th IFAC World Congress, 53, 2, 1182--1187, Elsevier, 2020 26. Matthias Gringard, Andreas Kroll: On considering the output in space-filling test signal designs for the identification of dynamic {T}akagi-{S}ugeno models, 21st IFAC World Congress, 53, 2, 1200-1205, Elsevier, https://www.ifac2020.org/, 2020 27. J. Rangel, R. Schmoll, A. Kroll: On Scene Flow Computation of Gas Structures with Optical Gas Imaging Cameras, IEEE Winter Conference on Applications of Computer Vision (WACV 2020), 174-182, 10.1109/WACV45572.2020.9093630, https://ieeexplore.ieee.org/document/9093630, 2020 28. 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, tm -- Technisches Messen, 87, 732-741, 10.1515/teme-2020-0057, https://doi.org/10.1515/teme-2020-0057, 2020 29. David Arengas, Andreas Kroll: Data Selection for System Identification (DS4SID) from Logged Process Records of Continuously Operated Plants, at -- Automatisierungstechnik, 68, 5, 347--359, 10.1515/auto-2019-0055, https://www.degruyter.com/view/journals/auto/68/5/article-p347.xml, 2020 30. Alexander Rehmer, Andreas Kroll: On the vanishing and exploding gradient problem in Gated Recurrent Units, IFAC-PapersOnLine, 21th IFAC World Congress, 53, 2, 1243--1248, Elsevier, 2020 31. Sebastian Schramm, Robert Schmoll, Andreas Kroll: Compensation of the Size-of-Source Effect of Infrared Cameras Using Image Processing Methods, 13th International Conference on Sensing Technology (ICST), 10.1109/ICST46873.2019.9047669, https://ieeexplore.ieee.org/document/9047669, 2019 32. Matthias Gringard, Andreas Kroll: Zur Homogenisierung von Testsignalen für die nichtlineare Systemidentifikation, at -- Automatisierungstechnik, 67, 10, 820--832, 2019 33. Felix Wittich, Matthias Kahl, Andreas Kroll, Wolfgang Zinn, Thomas Niendorf: On Nonlinear Empirical Modeling of Residual Stress Profiles in Hard Turning, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), 3235 -- 3240, 10.1109/SMC.2019.8914272, https://doi.org/10.1109/SMC.2019.8914272, 2019 34. David Arengas, Andreas Kroll: A Data Selection Method for large Databases for System Identification of MISO Models Based on Recursive Instrumental Variables, Proceedings of the 2019 European Control Conference (ECC), 357--362, 10.23919/ECC.2019.8796086, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=87960862019, 2019 35. Alexander Rehmer, Andreas Kroll: On Using Gated Recurrent Units for Nonlinear System Identification, Preprints of the 18th European Control Conference (ECC), 2504-2509, https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019, 2019 36. Sören Dierks, Andreas Kroll: Experimental Characterization of a Tuneable Diode Laser Absorption Spectroscopy Based Sensor, IEEE Sensors Applications Symposium (SAS), 2018 37. Sebastian Schramm, Johannes Rangel, Andreas Kroll: Data Fusion for 3D Thermal Imaging Using Depth and Stereo Camera for Robust Self-localization, IEEE Sensors Applications Symposium (SAS), https://doi.org/10.1109/SAS.2018.8336740, https://ieeexplore.ieee.org/document/8336740/, 2018 38. Matthias Gringard, Andreas Kroll: Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty, 18th IFAC Symposium on System Identification, https://www.ifac-control.org/events/system-identification-18th-sysid-2018, 2018 39. Kahl, Matthias, Kroll, Andreas: Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using LPV Techniques, Archives of Data Science, Series A (Online First), 5, 1, A19, 17 S. online, 10.5445/KSP/1000087327/19, 2018 40. Johannes Rangel, Andreas Kroll: Characterization and Calibration of a Stereo Gas Camera System for Obtaining Spatial Information of Gas Structures, IEEE Sensors Applications Symposium (SAS), 2018 41. Johannes Rangel, Andreas Kroll: On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera System, International Conference on Sensing Technology (ICST), 2018 42. David Arengas, Andreas Kroll: Removal of Insufficiently Informative Data to Support System Identification in MISO Processes, Proceedings of the 17th {European Control Conference} ({ECC}), 2842--2847, 2018 43. Sören Dierks, Andreas Kroll: Quantification of Methane Gas Leakages using Remote Sensing and Sensor Data Fusion, IEEE Sensors Applications Symposium (SAS), 10.1109/SAS.2017.7894047, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7894047, 2017 44. Salman Zaidi, Andreas Kroll: {NOE} {TS} Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued data, Applied Soft Computing, 57, 353-362, https://dx.doi.org/10.1016/j.asoc.2017.04.004, https://www.sciencedirect.com/science/article/pii/S1568494617301758, 2017 45. Johannes Rangel, Andreas Kroll: Characterization and Evaluation of Spatial Jitter's Influence on the Intrinsic Geometric Calibration of an Infrared Camera for Gas Visualization, IEEE Sensors Applications Symposium (SAS), 2017 46. David Arengas, Andreas Kroll: 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, Proceedings of the 21st International Conference on System Theory Control and Computing ICSTCC 2017, 100 -- 105, https://ieeexplore.ieee.org/document/8107018/, 2017 47. David Arengas, Andreas Kroll: Searching for {I}nformative {I}ntervals in {P}redominantly {S}tationary {D}ata {R}ecords to {S}upport {S}ystem {I}dentification, Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017, 132 -- 137, https://ieeexplore.ieee.org/document/8171617/, 2017 48. Andreas Kroll, Axel Dürrbaum, David Arengas, Hassan Al Mawla, Lars Kistner, Alexander Rehmer: µPlant: Eine automatisierungstechnisch-orientierte Modellfabrik für vernetzte heterogene Systeme, atp edition, 59, 9, 40-53, https://www.di-verlag.de/de/Zeitschriften/atp-edition/2017/09/Plant:-Modellfabrik-fuer-vernetzte-heterogene-Anlagen, 2017 49. Andreas Kroll, Axel Dürrbaum: On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: nonlinear regression case, Applied Soft Computing, 60, 407 -- 422, 10.1016/j.asoc.2017.07.015, https://reader.elsevier.com/reader/sd/pii/S1568494617304246, 2017 50. Alexander Schrodt, Andreas Kroll: On Iterative Closed-Loop Identification Using Affine Takagi-Sugeno Models and Controllers, International Journal of Fuzzy Systems, 19, 6, 1978-1988, 10.1007/s40815-016-0290-x, https://link.springer.com/article/10.1007/s40815-016-0290-x, 2017 51. Alexander Rehmer, Andreas Kroll: An extension to RPCA parameter selection and process monitoring, Proceedings of the 20th IFAC World Congress, 15329-15334, 2017 52. Thomas Guenther, Andreas Kroll: Automated Detection of Compressed Air Leaks Using a Scanning Ultrasonic Sensor System, IEEE Sensors Applications Symposium (SAS), 116 -- 121, 10.1109/SAS.2016.7479830, 2016 53. Salman Zaidi, Andreas Kroll: On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification, at -- Automatisierungstechnik, 64, 6, 418 -- 427, https://www.degruyter.com/view/j/auto, 2016 54. Matthias Gringard, Andreas Kroll: On the parametrization of APRBS and multisine test signals for the identification of nonlinear dynamic TS-models, IEEE Symposium Series of Computational Intelligence 2016, 39 -- 60, https://ssci2016.cs.surrey.ac.uk/IEEE%202016.htm, 2016 55. Chun Liu, Andreas Kroll: Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems, SpringerPlus Engineering, 15, 1, 10.1186/s40064-016-3027-2, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990531/, 2016 56. Axel Dürrbaum, Andreas Kroll: On robust experiment design for identifying locally affine Takagi-Sugeno models, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 10.1109/SMC.2016.7844506, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7844506, 2016 57. 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, atp edition, 58, 9, 62--74, https://www.di-verlag.de/de/Zeitschriften/atp-edition/2016/09/Big-data-analytics-for-proactive-industrial-decision-support, 2016 58. Andreas Geiger, Andreas Kroll: Erweiterung komplexer Netzwerke zur dynamischen Modellierung und Analyse von großen, verkoppelten Systemen, at -- Automatisierungstechnik, 64, 2, 110 -- 120, 10.1515/auto-2015-0086, 2016 59. Alexander Schrodt, Andreas Kroll: Zur regelungsorientierten Identifikation und driftkompensierenden Takagi-Sugeno-Fuzzy-Regelung, at -- Automatisierungstechnik, 64, 4, 270 -- 281, https://www.degruyter.com/view/j/auto, 2016 60. Salman Zaidi, Andreas Kroll: A Novel Approach to {TS} Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued Outputs, Proceedings of the 17th IFAC Symposium on System Identification ({SysID}), 1196 -- 1201, doi:10.1016/j.ifacol.2015.12.294, 2015 61. 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, Revista de Ingeniería Universidad de los Andes, 42, 8-15, https://ojsrevistaing.uniandes.edu.co/ojs/index.php/revista/article/view/40, 2015 62. Ordonez Müller, Antonio, Kroll, Andreas: On the Temperature Assignment Problem and the Use of Confidence Textures in the Creation of 3D Thermograms, 9th International Conference on Sensing Technology (ICST 2015), 235--240, 10.1109/ICSensT.2015.7438397, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7438397, 2015 63. Matthias Kahl, Andreas Kroll, Robert Kästner and Manfried Sofsky: Application of model selection methods for the identification of a dynamic boost pressure model, Proceedings of the 17th IFAC Symposium on System Identification ({SysID}), 829-834, doi:10.1016/j.ifacol.2015.12.232, 2015 64. 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, Technische Sicherheit, 5, 5, 16-22, 2015 65. Chun Liu, Andreas Kroll: Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks, Soft Computing, 19, 3, 567-584, 10.1007/s00500-014-1274-0, https://link.springer.com/article/10.1007/s00500-014-1274-0, 2015 66. Andreas Kroll, Axel Dürrbaum: On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno models, Proceedings of the 17th IFAC Symposium on System Identification ({SysID}), 1427 -- 1432, doi:10.1016/j.ifacol.2015.12.333, 2015 67. Alexander Schrodt, Andreas Kroll: Using an Iterative and Affine Closed-Loop Identification and Controller Design Scheme for {Takagi}-{Sugeno} Models, Proceedings of the 17th IFAC Symposium on System Identification ({SysID}), 362 -- 367, doi:10.1016/j.ifacol.2015.12.154, 2015 68. Alexander Schrodt, Andreas Kroll: Drift Term Compensating Control for Off-Equilibrium Operation of Nonlinear Systems with {Takagi}-{Sugeno} Fuzzy Models, Proceedings of the 14th {European Control Conference} ({ECC}), 392 -- 397, 10.1109/ECC.2015.7330575, 2015 69. 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, 12th International Conference for Quantitative InfraRed Thermography (QIRT 2014), https://qirt2014.scientific-event.com/, 2014 70. Samuel Soldan, Andreas Kroll: Übersicht zu Sensordatenfusionsansätzen in der Thermografie, tm -- Technisches Messen, 81, 10, 474-484, 10.1515/teme-2014-1044, https://www.degruyter.com/view/j/teme, 2014 71. Salman Zaidi, Andreas Kroll: On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties, 19th IFAC World Congress, 3226-3231, doi:10.3182/20140824-6-ZA-1003.01443, 2014 72. Rangel González, Johannes Havid, Soldan, Samuel and Kroll, Andreas: 3D Thermal Imaging: Fusion of Thermography and Depth Cameras, 12th International Conference for Quantitative InfraRed Thermography (QIRT 2014), https://qirt2014.scientific-event.com/, 2014 73. Moritz Wagner, Andreas Kroll: A method to identify hybrid systems with mixed piecewise affine or nonlinear models of Takagi-Sugeno type, 13th European Control Conference (ECC 14), 394 -- 399, https://www.ecc14.eu/, 2014 74. Kroll, Andreas, Sommer, Hanns-Jakob: Coordination of Distributed Control Systems, International Journal of Computing Anticipatory Systems, 30, 161-179, CHAOS, 2014 75. Andreas Kroll, Horst Schulte: Benchmark problems for nonlinear system identification and control using Soft Computing methods: need and overview, Applied Soft Computing, 25, 496-513, 10.1016/j.asoc.2014.08.034, https://www.sciencedirect.com/science/article/pii/S1568494614003998, 2014 76. Andreas Geiger, Andreas Kroll: Komplexe Netzwerke zur Modellierung und Analyse von Anlagen: Qualitative Detektion des Inverse-Response-Verhaltens von Systemen höherer Ordnung, EKA 2014 Entwurf komplexer Automatisierungssysteme, 2014 77. Zhenxing Ren, Andreas Kroll, Manfried Sofsky and Friedhelm Laubenstein: Zur physikalischen und datengetriebenen Modellbildung von Systemen mit Reibung: Methoden und Anwendung auf Kfz-Drosselklappen, at -- Automatisierungstechnik, 61, 3, 155 -- 171, 10.1524/auto.2013.0023, 2013 78. Ordonez Müller, Antonio, Kroll, A.: On Range Extension of Tunable Diode Laser Absorption Spectroscopy (TDLAS) Based Devices in Remote Gas Sensing Applications, International Symposium on Olfaction and Electronic Nose -- {ISOEN} 2013, https://www.olfactionsociety.org/event/isoen-2013, 2013 79. 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, IEEE International Conference on Robotics and Automation (ICRA), 987 -- 992, IEE, 10.1109/ICRA.2013.6630693, 2013 80. Andreas Geiger, Hanns Sommer, Andreas Kroll: In Need of Methods to Solve Imprecisely Posed Problems, 10th International Conference on Informatics in Control Automation and Robotics (ICINCO), 2013 81. Andreas Geiger, Andreas Kroll: Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response, CICA 2013 IEEE Symposium on Computational Intelligence in Control and Automation, 2013 82. 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, Sysid 2012, 16th IFAC Symposium on System Identification Brussels, 16, 1, 1395-1400, Elsevier Ltd., 10.3182/20120711-3-BE-2027.00137, 2012 83. Sommer, Hanns-Jakob, Schreiber, Lothar: Is Logic in the Mind or in the World? Why a philosophical Question can affect the Understanding of Intelligence, Journal of Artificial General Intelligence, Chaos, Solitons \& Fractals, 3, 1, 25-47, Elsevier Ltd., 10.2478/v10229-011-0014-4, https://versita.metapress.com/content/qm262485x7t156w8/fulltext.pdf, 2012 84. 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, Field and Service Robotics Results of the 8th International Conference, 92, 233-247, Springer Tracts in Advanced Robotics, Springer Berlin Heidelberg, 10.1007/978-3-642-40686-7_16, https://link.springer.com/chapter/10.1007/978-3-642-40686-7_16, 2012 85. 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, Proceedings of the 2012 IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 33-38, https://www.sciencedirect.com/science/article/pii/S147466701537244X, 2012 86. Samuel Soldan: On extended depth of field to improve the quality of automated thermographic measurements in unknown environments, Quantitative InfraRed Thermography Journal, 9, 2, 135-150, 10.1080/17686733.2012.738110, https://www.tandfonline.com/eprint/ExMpXXVKMsdiXZyF28Cr/full, 2012 87. Chun Liu, Andreas Kroll: On Designing Genetic Algorithms for Solving Small- and Medium-Scale Traveling Salesman Problems, International Symposium on Swarm Intelligence and Differential Evolution SIDE 2012, 283-291, LNCS 7269, https://dx.doi.org/10.1007/978-3-642-29353-5_33, 2012 88. Chun Liu, Andreas Kroll: A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms, 11th International Conference on Artificial Intelligence and Soft Computing ICAISA 2012, 466-474, LNCS 7268, https://dx.doi.org/10.1007/978-3-642-29350-4_56, 2012 89. 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, Future Security, 318, 216--219, Communications in Computer and Information Science, Springer Berlin Heidelberg, 10.1007/978-3-642-33161-9_32, https://dx.doi.org/10.1007/978-3-642-33161-9_32, 2012 90. Axel Dürrbaum, Andreas Kroll, Hanns Sommer: CI-Methoden zur Koordination und Entkoppelung komplexer Systeme, at -- Automatisierungstechnik, 60, 10, 600--610, 10.1524/auto.2012.1029, 2012 91. Ren, Zhenxing., Gerland, Patrick, Kroll, Andreas: A Novel Friction-Identification Method using Sliding-Mode Observer and Its Application to Electro-Mechanical Throttles, 18th World Congress of the International Federation of Automatic Control (IFAC), 4803-4808, 2011 92. Ren, Zhenxing, Kroll, Andreas, Sofsky, M. and Laubenstein, F.: Zur automatisierten Modellbildung für mechatronische Systeme mit Reibung am Beispiel von Dieselfahrzeugstellgliedern, VDI Mechatronik 2011, 55-60, 2011 93. Kroll, Andreas, Dürrbaum, Axel: On Control-specific Derivation of Affine Takagi-Sugeno Models from Physical Models: Assessment Criteria and Modeling Procedure, CICA 2011 IEEE Symposium on Computational Intelligence in Control and Automation, 23 -- 30, https://www.ieee-ssci.org/, 2011 94. Kroll, Andreas: Zur regelungsorientierten Ableitung von Takagi-Sugeno-Modellen, Automatisierungstechnik, 59, 12, 705 -- 719, 10.1524/auto.2011.0964, https://www.oldenbourg-link.com/doi/abs/10.1524/auto.2011.0964, 2011 95. Andreas Kroll, Samuel Soldan: On Data-driven Takagi-Sugeno Modelling of Heterogeneous Systems with Multidimensional Membership Functions, 18th World Congress of the International Federation of Automatic Control (IFAC), 14994-14999, https://www.ifac2011.org/, 2011 96. Andreas Kroll: On choosing the fuzziness parameter for identifying {TS} models with multidimensional membership functions, Journal of Artificial Intelligence and Soft Computing Research, 1, 4, 283-300, https://jaiscr.eu/issues/jaiscr_vol1_no4_2011.pdf, 2011 97. 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, 49th IEEE Conference on Decision and Control, 7637-7642, https://www.ieeecss.org/CAB/conferences/cdc2010/, 2010 98. Schulte, Host, Gerland, Patrick: Observer-based estimation of pressure signals in hydrostatic transmissions, IFAC Symposium Advances in Automotive Control (AAC), 2010 99. 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, 49th IEEE Conference on Decision and Control, 4373 -- 4378, https://www.ieeecss.org/CAB/conferences/cdc2010/, 2010 100. Gerland, Patrick, Gross, Dominic, Schulte, Horst, Kroll, Andreas: Robust Adaptive Fault Detection Using Global State Information and Application to Mobile Working Machines, Conference on Control and Fault-Tolerant Systems (SysTol), 813 -- 818, 2010 101. Andreas Kroll, Samuel Soldan: Survey Results on Status, Needs and Perspectives for using Mobile Service Robots in Industrial Applications, 11th International Conference on Control, Automation Robotics and Vision (ICARCV 2010), 621-626, https://www.icarcv.org/2010/, 2010 102. Lothar Schreiber, Hanns Sommer: Can Mathematics be justified by Natural Logic?, Computing Anticipatory Systems, Computing Anticipatory Systems, 1303, 189-198, AIP Conference Proceedings, 2009 103. Horst Schulte, Patrick Gerland: Observer Design using T-S Fuzzy Systems for pressure estimation in hydrostatic transmissions, International Conference on Intelligent Systems Design and Applications (ISDA '09 ), 2009 104. Gerland, Patrick, Schulte, Horst, Kroll, Andreas: Probability-based global state detection of complex technical systems and application to mobile working machines, European Control Conference (ECC), 1269 -- 1274, IEEE, 2009 105. Baetz, Werner, Kroll, Andreas, Bonow, Gero: Mobile Robots with Active IR-Optical Sensing for Remote Gas Detection and Source Localization, IEEE International Conference on Robotics and Automation (ICRA 2009), 2773--2778, IEEE, https://ieeexplore.ieee.org/abstract/document/5152338, 2009 106. Kroll, Andreas: A survey on mobile robots for industrial inspections, Int. Conf. on Intelligent Autonomous Systems (IAS10), 406-414, 2008 107. Dürrbaum, Axel, Scherm, Wolfgang, Sommer, Hanns: Systemidentifikation mittels Glaubenskalkül, at -- Automatisierungstechnik, 56, 7, 350-356, DOI 10.1524/auto.2008.0716, https://www.atypon-link.com/OLD/doi/pdf/10.1524/auto.2008.0716, 2008 108. Kroll, Andreas: On the use of computer-based training for operators in Germany and the USA - survey results, Automatisierungstechnische Praxis, 48, 9, 45-49, 2006 109. Kroll, Andreas: Assessment and opportunity screening regarding automation systems and working practices in the process industry, Automatisierungstechnische Praxis, 48, 8, 42-49, 2006 110. Kroll, Andreas: Computer-based training "control performance monitoring" for personnel of process plants, Automatisierungstechnische Praxis, 48, 5, 71-78, 2006