1. Hoschang Noori, Robert Schmoll, Andreas Kroll: Characterization of the angular distribution of the radiance and homogeneity of a integrating sphere and a parabolic reflector in the middle- and long-wavelength infrared with a self-developed gonioradiometer, SPIE Optical Engineering + Applications (OP24O), 2024
2. 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
3. Alexander Rehmer, Marco Klute, Andreas Kroll, Hans-Peter Heim: A Digital Twin for Part QualityPrediction and Control in Plastic Injection Molding, Modeling, Identification and Control for Cyber-Physical Systems Towards Industry 4.0, 79-109, Emerging Methodologies and Applications in Modelling, Identification and Control, Academic Press, 10.1016/B978-0-32-395207-1.00014-7, https://www.sciencedirect.com/science/article/abs/pii/B9780323952071000147, 2024
4. 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
5. 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
6. Miguel Mendez, Sebastian Schramm, Robert Schmoll, Andreas Kroll: Integration of a High-Precision 3D Sensor into a 3D Thermography System, Sensor and Measurement Science International Conference (SMSI) 2023, 10.5162/SMSI2023/E5.2, 2023
7. Miguel Mendez, Jannik Ebert, Lars Sommerlade, Robert Schmoll, Andreas Kroll: Comparative Assessment of the Size-of-Source Effect in Middle and Long-Wavelength Infrared Cameras, QIRT Asia 2023 - The 4th Quantitative Infrared Thermography Conference, 2023
8. Lars Kistner, Robert Schmoll, Andreas Kroll: An Airborne Measurement System to Detect, Locate and Quantify Methane Emissions, Sensor and Measurement Science International Conference (SMSI) 2023, 10.5162/SMSI2023/P67, 2023
9. 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
10. Hanns Sommer, Andreas Kroll: Zum Einsatz von KI-Methoden zur Lösung von Problemen der Regelungstechnik, 33. Workshop Computational Intelligence, 61-80, KIT Scientific Publishing, 10.5445/KSP/1000162754, https://doi.org/10.5445/KSP/1000162754, 2023
11. 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
12. 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
13. Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: Holistic Modeling of Ultra-High Performance Concrete Production Process: Synergizing Mix Design, Fresh Concrete Properties and Curing Conditions, 33. Workshop Computational Intelligence, 215-237, KIT Scientific Publishing, 10.5445/KSP/1000162754, https://doi.org/10.5445/KSP/1000162754, 2023
14. Farzad Rezazadeh, Axel Dürrbaum, Gregor Zimmermann, Andreas Kroll: Leveraging Ensemble Structures to Elucidate the Impact of Factors that Influence the Quality of Ultra–High Performance Concrete, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 180-187, IEEE Press, 10.1109/SSCI52147.2023.10371800, https://ieeexplore.ieee.org/document/10371800, 2023
15. 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
16. 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
17. Schramm, Sebastian, Ebert, Jannik, Schmoll, Robert, Kroll, Andreas: Compensating the Size-of-Source Effect: Relationship between the MTF and a Data-Driven Convolution Filter Approach, 16th Quantitative InfraRed Thermography Conference (QIRT), 2022
18. Schmoll, Robert, Schramm, Sebastian and Breitenstein, Tom, Kroll, Andreas: Method and Experimental Investigation of Surface Heat Dissipation Measurement using 3D Thermography, Journal of Sensors and Sensor Systems (JSSS), 11, 41-49, 10.5194/jsss-11-41-2022, https://jsss.copernicus.org/articles/11/41/2022/, 2022
19. 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
20. Felix Wittich, Andras Kroll: Approximation of the Feasible Parameter Set in Bounded-Error Parameter Estimation of Takagi-Sugeno Fuzzy Models for Large Problems by Using a Ray Shooting Method, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), 10.1109/FUZZ-IEEE55066.2022.9882729, https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882729, 2022
21. Farzad Rezazadeh, Andreas Kroll: Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark datasets, 32. Workshop Computational Intelligence, 53-75, KIT Scientific Publishing, 10.5445/KSP/1000151141, https://doi.org/10.5445/KSP/1000151141, 2022
22. 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
23. 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
24. 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
25. Alexander Rehmer, Andreas Kroll: Eine Python-Toolbox zur datengetriebenen Modellierung des Spritzgieprozsses und Lösung von Optimalsteuerungsproblemen zur Steuerung der Bauteilqualität, 32. Workshop Computational Intelligence, 133-150, KIT Scientific Publishing, https://library.oapen.org/handle/20.500.12657/59840?show=full, 2022
26. 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
27. Alexander Rehmer, Andras Kroll: The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization, Preprints of the International Joint Conference on Neural Networks (IJCNN 2022), 1-8, 2022
28. 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
29. Sebastian Schramm, S. Altenburg, R. Krankenhagen, C. Maierhofer, E. Marquardt, W. Mühlberger, F. Nagel, E. Neumann, P. Rohwetter, F. Rutz, N. Scheuschner, C. Schwake, F. Schwaneberg, R. D. Taubert, M. Ziegler: Thermografie und Strahlungsthermometrie - Stand und Trends, GMA Fachausschuss 8.16: Temperaturmessung mit Wärmebildkameras, https://www.vdi.de/ueber-uns/presse/publikationen/details/thermografie-und-strahlungsthermometrie-stand-und-trends, 2021
30. 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
31. 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
32. 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
33. Schmoll, Robert, Schramm, Sebastian and Breitenstein, Tom, Kroll, Andreas: 3D Thermography for the Measurement of Surface Heat Dissipation, Sensor and Measurement Science International Conference (SMSI) 2021, 187-188, 10.5162/SMSI2021/C2.4, https://www.ama-science.org/proceedings/details/4005, 2021
34. Ralf Mikut, Andreas Kroll, Horst Schulte: Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational Intelligence", at - Automatisierungstechnik, 69, 10, 817-819, https://doi.org/10.1515/auto-2021-0124, 2021
35. Matthias Himmelsbach, Andreas Kroll: On optimal test signal design and parameter identification schemes for dynamic Takagi-Sugeno fuzzy models using the Fisher information matrix, International Journal of Fuzzy Systems, 24, 2, 1012-1024, 10.1007/s40815-021-01185-9, 2021
36. Marquardt, Erik, Nagel, Frank, Schwake, Christian, Schramm, Sebastian, Schwaneberg, Falko: Leckageortung mittels Thermografiekameras, Technische Sicherheit, November, 09-10, 32-33, 10.37544/2191-0073-2021-09-10-32, https://elibrary.vdi-verlag.de/10.37544/2191-0073-2021-09-10-32/leckageortung-mittels-thermografiekameras-jahrgang-11-2021-heft-09-10, 2021
37. Lars Kistner, Andreas Kroll: Systemidentifikation und Simulation nichtlinearer dynamischer Systeme mit Gaußschen Prozessmodellen mit näherungsweiser Rückführung normalverteilter Ausgangsgrößen, 31. Workshop Computational Intelligence, 79-90, KIT Scientific Publishing, 10.5445/KSP/1000138532, https://doi.org/10.5445/KSP/1000138532, 2021
38. 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
39. Johannes Rangel, Juan Duenas, Robert Schmoll and Andreas Kroll: On Evaluating deep-learning-based Optical Flow Methods for Gas Velocity Estimation with Optical Gas Imaging Cameras, Conference on Automated Visual Inspection and Machine Vision IV, 10.1117/12.2591903, https://spie.org/EOM/conferencedetails/automated-visual-inspection, 2021
40. 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
41. Felix Wittich, Andreas Kroll: Approximation der zulässigen Parametermenge bei der Bounded-Error-Schätzung durch ein Ray-Shooting-Verfahren, 31. Workshop Computational Intelligence, 79-90, KIT Scientific Publishing, https://doi.org/10.5445/KSP/1000138532, 2021
42. 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
43. 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
44. Axel Dürrbaum, Matthias Kahl, Matthias Himmelsbach, Andreas Kroll: Toolbox zur Identifikation von Takagi-Sugeno-Fuzzy-Modellen, at - Automatisierungstechnik, 69, Oktober, 915-916, https://doi.org/10.1515/auto-2021-0079, 2021
45. 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
46. 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
47. Schramm, Sebastian, Osterhold, Phil, Schmoll, Robert, Kroll, Andreas: Generation of Large-Scale 3D Thermograms in Real-Time Using Depth and Infrared Cameras, 15th Quantitative InfraRed Thermography Conference (QIRT), 10.21611/qirt.2020.008, https://qirt.org/archives/qirt2020/papers/008.pdf, 2020
48. 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
49. Matthias Himmelsbach, Andreas Kroll: Toolbox zum Testsignalentwurf für Standardtestsignale für die Identifikation von Eingrößensystemen: Prozessmodellfreie und -basierte Methoden, 30. Workshop Computational Intelligence, KIT Scientific Publishing, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2020
50. Matthias Gringard, Andreas Kroll: On considering the output in space-filling test signal designs for the identification of dynamic Takagi-Sugeno models, 21st IFAC World Congress, 53, 2, 1200-1205, Elsevier, https://www.ifac2020.org/, 2020
51. 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
52. 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
53. Elmar Moritzer, Matthias Hopp, Marius Wittke, Jochen Deuse, Ralph Richter, Jacqueline Schmitt, Lukas Schulte, Andreas Kroll, Alexander Schrodt: Einsatz von maschinellem Lernen für die Rezyklat-Verarbeitung, WAK - Jahresmagazin Ingenieurwissenschaften, 70 - 73, https://institut-wv.de/jahresmagazin-ingenieurwissenschaften-im-fokus-kunststofftechnik/, 2020
54. 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
55. 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
56. 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
57. R. Mikut, A. Kroll, F. Hoffmann: Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational Intelligence", at - Automatisierungstechnik, 67, 10, 817-819, 10.5445/KSP/1000098736, 2019
58. Matthias Gringard, Andreas Kroll: Zur Homogenisierung von Testsignalen für die nichtlineare Systemidentifikation, at - Automatisierungstechnik, 67, 10, 820-832, 2019
59. 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
60. Felix Wittich, Matthias Kahl, Andreas Kroll: Zur Schätzung zulässiger Parametermengen nichtlinearer Takagi-Sugeno-Multi-Modelle mit garantierten Fehlerschranken, 29. Workshop Computational Intelligence, 247-254, KIT Scientific Publishing, 10.5445/KSP/1000098736, 2019
61. 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
62. Andreas Kroll, Axel Dürrbaum: Zukunftswerkstatt "Smart Factory", MoWiN.net Jahrerücklick 2018, 50, https://www.mowin.net/fileadmin/mowin/dokumente/Jahresrueckblick/2018/WEBVERSIONJahresrueckblick2018.pdf, 2019
63. 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
64. Sören Dierks, Andreas Kroll: Experimental Characterization of a Tuneable Diode Laser Absorption Spectroscopy Based Sensor, IEEE Sensors Applications Symposium (SAS), 2018
65. Sören Dierks, Andreas Kroll: Kommunikation und Bildverarbeitung in der Automation, 188 - 203, Springer Berlin Heidelberg, 10.1007/978-3-662-55232-215, https://doi.org/10.1007/978-3-662-55232-215, 2018
66. 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
67. 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
68. Matthias Gringard, Andreas Kroll: Zum optimalen Offline-Testsignalentwurf für die Identifikation dynamischer TS-Modelle: Steuerfunktionen zur optimalen Schätzung der Partitionsparameter, 28. Workshop Computational Intelligence, 39 - 60, KIT Scientific Publishing, 10.5445/KSP/1000085935, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2018
69. Lars Kistner, Axel Dürrbaum, Andreas Kroll: Ein autonomes, mobiles Multi-Roboter-System für Intralogistik in der Produktion, Automation 2018, VDI Wissensforum GmbH, Online, https://www.vdi-nachrichten.com/wp-content/uploads/2019/09/11004InhaltWebAutomation2330.pdf, 2018
70. 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
71. 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
72. Johannes Rangel, Andreas Kroll: On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera System, International Conference on Sensing Technology (ICST), 2018
73. H. Al Mawla, A. Kroll: Multivariate statistical approaches for an early detection of foaming in a refinery SCOT unit, at - Automatisierungstechnik, 66, 8, 665 - 679, https://doi.org/10.1515/auto-2018-0048, https://www.degruyter.com/view/j/auto.2018.66.issue-8/auto-2018-0048/auto-2018-0048.xml, 2018
74. Felix Wittich, Matthias Gringard, Matthias Kahl, Andreas Kroll, Thomas Niendorf, Wolfgang Zinn: Datengetriebene Modellierung zur Prädiktion des Eigenspannungstiefenverlaufs beim Hartdrehen, 28. Workshop Computational Intelligence, 61 - 81, KIT Scientific Publishing, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2018
75. 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
76. 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
77. 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
78. S. Heinze, M. Graube, L. Schegner, D. Arnu, R. Klinkenberg, A. Schmidt, M. Atzmüller, B. Klöpper, M. Dix, M. Hollender, M. Chioua, H. Al Mawla, A. Rehmer, A. Kroll, G. Stumme, L. Urbas: Big Data in der Prozessindustrie: Frühzeitige Erkennung und Entscheidungsunterstützung, Automation 2017, VDI, online, https://www.automatisierungskongress.de/, 2017
79. Ordonez Müller, Antonio, Kroll, A.: Generating High Fidelity 3D Thermograms with a Handheld Real-time Thermal Imaging System, IEEE Sensors Journal, 17, 3, 774-783, 10.1109/JSEN.2016.2621166, https://ieeexplore.ieee.org/document/7676356/, 2017
80. Matthias Kahl, Andreas Kroll, Robert Kästner and Manfried Sofsky: On the selection of appropriate data from routine vehicle operation for system identification of a diesel engine gas system, Automotive Data Analytics, Methods, DoE - Proceedings of the International Calibration Conference, 283-299, 2017
81. 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
82. F. Hoffmann, A. Kroll, R. Mikut: Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14. "Computational Intelligence", at - Automatisierungstechnik, 65, 3, 153-155, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, KIT Scientific Computing, 10.1515./auto-2017-17, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2017
83. David Arengas, Andreas Kroll: A Search Method for Selecting Informative Data in Predominantly Stationary Historical Records for Multivariable Systems, Proceedings of the 21st International Conference on System Theory Control and Computing ICSTCC 2017, 100 - 105, https://ieeexplore.ieee.org/document/8107018/, 2017
84. David Arengas, Andreas Kroll: Searching for Informative Intervals in Predominantly Stationary Data Records to Support System Identification, Proceedings of the 26th International Conference on Information, Communication and Automation Technologies ICAT 2017, 132 - 137, https://ieeexplore.ieee.org/document/8171617/, 2017
85. 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
86. 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
87. Andreas Kroll: Einzigartige Modellfabrik im Fachbereich Maschinenbau, MoWiN.net Jahrerücklick 2016, 63, https://www.mowin.net/fileadmin/mowin/dokumente/Jahresrueckblick/2016/Jahresrueckblick2016web.pdf, 2017
88. 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
89. Alexander Rehmer, Andreas Kroll: An extension to RPCA parameter selection and process monitoring, Proceedings of the 20th IFAC World Congress, 15329-15334, 2017
90. 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
91. Thomas Guenther, Andreas Kroll: Localization of compressed air leaks in industrial environments using service robots with ultrasonic microphones, 32nd European Conference on Acoustic Emission Testing, 173 - 182, VUTIUM Brno, https://www.ndt.net/article/ewgae2016/papers/173paper.pdf, 2016
92. Sören Dierks, Stefanie Retz, Dominik Klaus, Carsten Supply, Oliver Hensel, Andreas Kroll: Schwachstellenanalyse und fernmesstechnische Ermittlung von Methanemission aus Biogasanlagen, gwf - Gas + Energie, 157, 9, 690-695, https://www.di-verlag.de/de/GWF-Gas-Energie, 2016
93. Sören Dierks, Andreas Kroll: Schätzung von Gasgeschwindigkeiten aus Differenzbildserien einer Infrarotkamera zur Gasvisualisierung, Jahreskolloquium Bildverarbeitung in der Automation 2016, https://www.hs-owl.de/init/bvau2016/index.php/home, 2016
94. 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
95. 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
96. Matthias Gringard, Andreas Kroll: On the systematic parametrization of APRBS and multisine test signals for nonlinear system identification, 26. Workshop Computational Intelligence, 119-138, KIT Scientific Publishing, 10.5445/KSP/1000060007, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss, 2016
97. 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
98. Benjamin Jäschke, Andreas Kroll: Ein Nächste-Nachbarn-Ansatz zur Anomaliedetektion bei Massendaten aus kontinuierlich betriebenen Chemieanlagen, 26. Workshop Computational Intelligence, 26, 245-260, KIT Scientific Publishing, 10.5445/KSP/1000060007, 2016
99. 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
100. 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
101. Andreas Kroll: Zum optimalen Testsignalentwurf für die Partitionierung und Teilmodellparametrierung dynamischer Takagi-Sugeno-Modelle: Problemstellung und Lösungsansätze, 26. Workshop Computational Intelligence, 97-118, KIT Scientific Publishing, 10.5445/KSP/1000060007, 2016
102. Andreas Kroll: Computational Intelligence - Probleme, Methoden und technische Anwendungen, deGruyter/Oldenbourg Verlag, https://www.degruyter.com/view/product/447589, 2016
103. 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
104. 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
105. A. Kroll, A. Dürrbaum, D. Arengas, B. Jäschke, H. Al Mawla, A. Geiger: µPlant: Model factory for the automatization of networked, heterogeneous and flexibly changeable multi-product plants, Automation 2016, VDI-Berichte 2284, VDI, online, https://www.automatisierungskongress.de/, 2016
106. 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
107. 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
108. 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
109. 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
110. Matthias Gringard, Andreas Kroll: Zur Homogenisierung von Breitbandtestsignalen für die nichtlineare Systemidentifikation am Beispiel eines nichtlinearen Stellantriebs, 25. Workshop Computational Intelligence, 145 - 162, KIT Scientific Publishing, 0.5445/KSP/100004962, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2015
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. 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
119. Salman Zaidi, Andreas Kroll: Electro-Mechanical Throttle as a Benchmark Problem for Nonlinear System Identification with Friction, 24. Workshop Computational Intelligence, 173-186, KIT Scientific Publishing, 10.5445/KSP/1000043427, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2014
120. 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
121. Ordonez Müller, Antonio, Kroll, A.: On the use of Cooperative Autonomous Mobile Robots and Optical Remote Sensing in Inspection Robotics, Automation 2014, https://www.automatisierungskongress.de/, 2014
122. 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
123. Matthias Kahl, Andreas Kroll, Robert Kästner and Manfried Sofsky: Zur automatisierten Auswahl signifikanter Regressoren für die Identifikation eines dynamischen Ladedruckmodells, 24. Workshop Computational Intelligence, 33-53, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, KIT Scientific Publishing, 10.5445/KSP/1000043427, 2014
124. Kroll, Andreas, Sommer, Hanns-Jakob: Coordination of Distributed Control Systems, International Journal of Computing Anticipatory Systems, 30, 161-179, CHAOS, 2014
125. Frank Hoffmann, Eyke Hüllermeier, Andreas Kroll: Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence" (Editorial), at - Automatisierungstechnik, 62, 10, 685-686, 10.1515/auto-2014-1137, https://www.oldenbourg-link.com/toc/auto/, 2014
126. 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
127. 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
128. Abdelkarim Habib, Gero Bonow, Andreas Kroll, Jens Hegenberg, Ludger Schmidt, Thomas Barz, Dirk Schulz: RoboGasInspector Research Project: Detecting Gas Leaks With Autonomous Mobile Robots, Ex-MAGAZINE 2014, 40, 91-97, https://www.r-stahl.com/fileadmin/Dateien/ex-zeitschrift/2014/en/ExMagazine2014web.pdf, 2014
129. 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
130. Samuel Soldan, Andreas Kroll: Towards Automated Gas Leak Detection Using IR Gas Imaging Cameras, AITA 2013 - Advanced Infrared Technology and Applications, 195-199, https://ronchi.isti.cnr.it/AITA2013, 2013
131. Salman Zaidi, Andreas Kroll: On identifying nonlinear envelop type dynamical T-S fuzzy models for systems with uncertainties: method and application to electro-mechanical throttle, 23. Workshop Computational Intelligence, 129-143, KIT Scientific Publishing, 10.5445/KSP/1000036887, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2013
132. Ordonez Müller, Antonio, Kroll, A.: Effects of beam divergence in hand-held TDLAS sensors on long distance gas concentration measurements, International Workshop on Advanced Infrared Technology and Applications - AITA 2013, 12, 9-13, https://ronchi.isti.cnr.it/AITA2013, 2013
133. 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
134. Habib, Abdelkarim, Bonow, Gero, Kroll, Andreas, Hegenberg, Jens, Schmidt, Ludger, Barz, Thomas, Schulz Dirk: Forschungsprojekt RoboGasInspector: Gaslecksuche mit autonomen mobilen Robotern, Technische Sicherheit, 3, 5, 10-15, 2013
135. 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
136. Andreas Kroll: Computational Intelligence - Eine Einführung in Probleme Methoden und technische Anwendungen, Oldenbourg Verlag, https://www.degruyter.com/view/product/232244, 2013
137. Andreas Kroll: Vom 47. Regelungstechnischen Kolloquium in Boppard, at - Automatisierungstechnik, 5, 61, 375-376, 10.1524/auto.2013.1022, https://www.oldenbourg-link.com/doi/abs/10.1524/auto.2013.1022, 2013
138. 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
139. 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
140. 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
141. 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
142. 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, 10.1007/978-3-642-40686-716, https://link.springer.com/chapter/10.1007/978-3-642-40686-716, 2012
143. 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
144. Samuel Soldan, Gero Bonow, Andreas Kroll: Auswahl und Aufbau eines Multisensor-Fernmesssystems zur Fluidleckerkennung für den Einsatz auf einem mobilen Industrie-Inspektionsroboter, 16. GMA/ITG Fachtagung Sensoren und Messsysteme 2012, 126-135, AMA Service GmbH, DOI 10.5162/sensoren2012/1.4.2, https://www.sensoren2012.de/, 2012
145. 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
146. Samuel Soldan: On Extended Depth of Field to Improve the Quality of Automated Thermographic Measurements in Unknown Environments, Proceedings of 11th International Conference on Quantitative InfraRed Thermography (QIRT), https://www.qirt2012.unina.it, 2012
147. Salman Zaidi, Andreas Kroll, Hanns-Jakob Sommer: On Description and Identification of Uncertainties in System Modeling with Fuzzy Logic, 22. Workshop Computational Intelligence, 179-199, KIT Scientific Publishing, https://www.rst.e-technik.tu-dortmund.de/cms/de/Veranstaltungen/GMA-Fachausschuss/index.html, 2012
148. Frank Hoffmann, Eyke Hüllermeier, Andreas Kroll: Ausgewählte Beiträge des GMA-Fachausschusses 5.14 "Computational Intelligence" (Editorial), at - Automatisierungstechnik, 60, 10, 587-588, 10.1524/auto.2012.9102, https://www.oldenbourg-link.com/toc/auto/60/10?ai=rw&ui=i20&af=H, 2012
149. F. Hoffmann, R. Mikut, A. Kroll, M. Reischl, O. Nelles, H. Schulte, T. Bertram: Computational Intelligence: State-of-the-Art Methoden und Benchmarkprobleme, 22. Workshop Computational Intelligence, 1 - 42, KIT Scientific Publishing, 10.5445/KSP/100002991, 2012
150. 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/10.1007/978-3-642-29353-533, 2012
151. 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/10.1007/978-3-642-29350-456, 2012
152. 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, 10.1007/978-3-642-33161-932, https://dx.doi.org/10.1007/978-3-642-33161-932, 2012
153. 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
154. Zhenxing Ren, Andreas Kroll, Manfried Sofsky and Friedhelm Laubenstein: Modellierung mechatronischer Systeme mit Reibung mittels PWA-Modellansatz und Anwendung auf Stellglieder am Dieselfahrzeug, 2. Workshop "Modellbasierte Kalibriermethoden", https://mbc.tuwien.ac.at/workshops/2011/, 2011
155. Schrodt, Alexander, Kroll, Andreas: Zur Fuzzy-Clusterungs-basierten Identifikation eines Verbrennungsmotorkennfelds: Methodenvergleich und Parametrierungsstrategie, 21. Workshop Computational Intelligence, 47 - 60, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2011
156. Samuel Soldan, Johannes Rangel, Andreas Kroll: An Overview of Calibration Boards for the Geometric Calibration of Thermal Cameras, InfraR\&D 2011 Proceedings Volume 6, 79-83, https://www.infrarottraining.de/infra/, 2011
157. 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
158. 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
159. 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
160. 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
161. Bonow, Gero und Kroll, Andreas: Zur automatisierten Inspektion von Anlagen mittels Gasfernmesstechnik: Technologien und Geräte, AUTOMATION 2011, 2011
162. 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
163. 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/jaiscrvol1no42011.pdf, 2011
164. 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
165. Werner Baetz, Andreas Kroll, Samuel Soldan: On Gas Leak Detection of Pressurised Components by Using Thermograms and Pattern Recognition Algorithms, Proc. 8th Int. Conf. on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components, 503-512, European Commission, Joint Research Center, Institute for Energy, https://www.8thnde.com/Programme/Session.aspx?id=8B4185CE-336B-4725-A598-31A1F23F9DA1, 2010
166. Schulte, Host, Gerland, Patrick: Observer-based estimation of pressure signals in hydrostatic transmissions, IFAC Symposium Advances in Automotive Control (AAC), 2010
167. Horst Schulte, Patrick Gerland, Do: Robuste Fehlerdiagnose bei aktuator- und sensorähnlichen Fehlern am Beispiel eines Dreitanksystems, 20. Workshop Computational Intelligence, 33, 277 - 278, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, KIT Scientific Publisher, 2010
168. 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
169. 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
170. Gerland, Patrick: Zur Robustheitssteigerung eines klassifikationsgestützten adaptiven Fehlerdiagnoseansatzes, 20. Workshop Computational Intelligence, 220 - 234, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, https://d-nb.info/1008965111/04, 2010
171. 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
172. Andreas Kroll, Axel Dürrbaum: Zur regelungsspezifischen Ableitung dynamischer Tagaki-Sugeno-Modelle aus rigorosen Modellen, 20. Workshop Computational Intelligence, 161 - 174, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2010
173. Andreas Kroll: Zur Modellierung unstetiger sowie heterogener nichtlinearer Systeme mittels Takagi-Sugeno-Fuzzy-Systemen, 20. Workshop Computational Intelligence, 64 - 79, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2010
174. Andreas Geiger, Hanns Sommer, Andreas Kroll: Koevolutionärer Algorithmus zur Analyse struktureller Steuerbarkeit - Eine Methode der "komplexen Netzwerke" zur Systemanalyse, 20. Workshop Computational Intelligence, 235-249, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2010
175. Sommer, Hanns-JakobLiege: Emergence of classical reality from a quantum mechanical background, Chaos, Solitons \& Fractals, Chaos, Solitons \& Fractals, 39, 1027-1036, Elsevier Ltd., 10.1016/j.chaos.2007.04.002, 2009
176. Lothar Schreiber, Hanns Sommer: Can Mathematics be justified by Natural Logic?, Computing Anticipatory Systems, Computing Anticipatory Systems, 1303, 189-198, AIP Conference Proceedings, 2009
177. Kroll, Andreas, Mikut, Ralf: Computational Intelligence (Editorial Part 2), Automatisierungstechnik, 57, 3, 105, 2009
178. 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
179. 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
180. Gerland, Patrick, Schulte, Horst, Kroll, Andreas: Vergleichende Untersuchung nichtlinearer Beobachterkonzepte zur Fehlerdiagnose am Beispiel hydrostatischer Fahrantriebe, 19. Workshop Computational Intelligence, 29, 61 - 74, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2009
181. Bonow, Gero, Kroll, Andreas: Gasleckortung mittels Laser-Fernmesstechnik und autonomer mobiler Robotersysteme, AUTOMATION 2009, 2009
182. 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
183. Schreiber, Lothar, Sommer, Hanns, Kroll, Andreas: Lösung komplexer Systeme mittels heuristischer Verfahren, 18. Workshop Computational Intelligence, 24, 124-135, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2008
184. Kroll, Andreas, Mikut, Ralf: Computational Intelligence (Editorial), Automatisierungstechnik, 56, 7, 335-338, 2008
185. Kroll, Andreas: A survey on mobile robots for industrial inspections, Int. Conf. on Intelligent Autonomous Systems (IAS10), 406-414, 2008
186. Kroll, A., Harjunkoski, I.: Produktionsoptimierung - Fortsetzung (Editorial), Automatisierungstechnik, 56, 4, 169-170, 10.1524/auto.2008.9052, 2008
187. Kroll, A., Harjunkoski, I.: Produktionsoptimierung (Editorial), Automatisierungstechnik, 56, 2, 61-63, 10.1524/auto.2008.9050, 2008
188. Gerland, Patrick, Schulte, Horst, Kroll, Andreas: Wahrscheinlichkeitsbasierte globale Situationserkennung bei komplexen Systemen, 18. Workshop Computational Intelligence, 24, 174 - 188, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2008
189. 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
190. Busch, Martin, Schweizer, Bernhard, Sommer, Hanns, Sommer, Vinzent: Ein einfaches Berechnungsverfahren zu den Navier-Stockesschen Gleichungen - Die Struktur berechenbarer Systeme für komplexe Systeme, 18. Workshop Computational Intelligence, 24, 151-162, Schriftenreihe des Instituts für Angewandte Informatik / Automatisierungstechnik, 2008
191. Kroll, A., Simon, G., Cheever, T. AND Pilbacka, T., Stanier, D.: Room for Improvement, EngineerIT, 32, 28-32, https://www.eepublishers.co.za/view.php?sid=10863, 2007
192. Kroll, A., Simon, G., Cheever, T. AND Pilbacka, T., Stanier, D.: Room for Improvement - Identifying limiting factors in process industries, ABB Review 1/2007, ABB Review, 1, 56-61, ABB, 2007
193. Abel, D., M. Buss, A. Kroll, M. Reischl: Considerations on teaching, Automatisierungstechnik, 55, 5, 266-268, 2007
194. Sommer, Hanns-Jakob: A Toy-World that satisfies some Principles of "El Naschie's E-Infinity Theory", Computing Antipatory Systems, 839, 212-221, AIP Conference Proceedings, 2006
195. Kroll, Andreas, Abel, D.: Model Predictive Control (Editorial), Automatisierungstechnik, 54, 12, 587-589, 2006
196. 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
197. Kroll, Andreas: Assessment and opportunity screening regarding automation systems and working practices in the process industry, Automatisierungstechnische Praxis, 48, 8, 42-49, 2006
198. Kroll, Andreas: Computer-based training "control performance monitoring" for personnel of process plants, Automatisierungstechnische Praxis, 48, 5, 71-78, 2006