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16 Publications
2024 | Dissertation | LibreCat-ID: 56940
Götte R-S. Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit. Vol 423.; 2024. doi:10.17619/UNIPB/1-2066
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2024 | Dissertation | LibreCat-ID: 58164 | 
Junker A. Datengetriebene Modellbildung für nichtlineare mechatronische Systeme in regelungstechnisch verwertbarer Form. Vol Band 428. Heinz Nixdorf Institut; 2024. doi:10.17619/UNIPB/1-2158
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2024 | Dissertation | LibreCat-ID: 58448 |
Hesse M. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol 426. Heinz Nixdorf Institut; 2024. doi:10.17619/UNIPB/1-2135
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2024 | Journal Article | LibreCat-ID: 57893 |
Junker A, Timmermann J, Trächtler A. Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design. PAMM. 2024;25(1). doi:10.1002/pamm.202400154
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2023 | Conference Paper | LibreCat-ID: 34171
Götte R-S, Timmermann J. Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF. In: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022). Vol 56. ; 2023:85-90. doi:https://doi.org/10.1016/j.ifacol.2023.02.015
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2023 | Conference Paper | LibreCat-ID: 44326
Götte R-S, Timmermann J. Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF. In: IFAC-PapersOnLine. Vol 56. ; 2023:869-874.
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2023 | Conference Paper | LibreCat-ID: 48482 |
Götte R-S, Klusmann JN, Timmermann J. Data-driven identification of disturbances using a sliding mode observer. In: Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023. ; 2023:113-123. doi:10.5445/KSP/1000162754
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2023 | Conference Paper | LibreCat-ID: 48476
Hesse M, Timmermann J, Trächtler A. Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform*. In: 2023 European Control Conference (ECC). IEEE; 2023. doi:10.23919/ecc57647.2023.10178368
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2023 | Conference Paper | LibreCat-ID: 42238 |
Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomous Golf Putting with Data-Driven and Physics-Based Methods. In: 2022 Sixth IEEE International Conference on Robotic Computing (IRC). IEEE; 2023. doi:10.1109/irc55401.2022.00031
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2023 | Journal Article | LibreCat-ID: 50070 |
Junker A, Pape KEF, Timmermann J, Trächtler A. Adaptive Koopman-Based Models for Holistic Controller and Observer Design. IFAC-PapersOnLine. 2023;56(3):625-630. doi:10.1016/j.ifacol.2023.12.094
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2022 | Conference Paper | LibreCat-ID: 26539 |
Götte R-S, Timmermann J. Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. In: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC). ; 2022:67-76. doi:10.1109/AIRC56195.2022.9836982
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2022 | Conference Paper | LibreCat-ID: 31066
Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55. ; 2022:19-24. doi:https://doi.org/10.1016/j.ifacol.2022.07.282
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2022 | Conference Paper | LibreCat-ID: 29803
Hesse M, Hunstig M, Timmermann J, Trächtler A. Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. In: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM). ; 2022:383-394.
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2022 | Conference Paper | LibreCat-ID: 26389 |
Junker A, Timmermann J, Trächtler A. Data-Driven Models for Control Engineering Applications Using the Koopman Operator. In: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022). ; 2022:1-9. doi:10.1109/AIRC56195.2022.9836980
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2022 | Journal Article | LibreCat-ID: 50071 |
Junker A, Timmermann J, Trächtler A. Learning Data-Driven PCHD Models for Control Engineering Applications*. IFAC-PapersOnLine. 2022;55(12):389-394. doi:10.1016/j.ifacol.2022.07.343
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2022 | Conference Paper | LibreCat-ID: 34011 |
Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomes Putten mittels datengetriebener und physikbasierter Methoden. In: Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. ; 2022:119-124. doi:10.5445/KSP/1000151141
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