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