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23 Publications
2023 | Conference Paper | LibreCat-ID: 34171
R.-S. Götte and J. Timmermann, “Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF,” in 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), Canberra, Australien, 2023, vol. 56, no. 1, pp. 85–90, doi: https://doi.org/10.1016/j.ifacol.2023.02.015.
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2023 | Conference Paper | LibreCat-ID: 42238 | 
A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomous Golf Putting with Data-Driven and Physics-Based Methods,” presented at the 2022 Sixth IEEE International Conference on Robotic Computing (IRC), Naples, Italy, 2023, doi: 10.1109/irc55401.2022.00031.
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2023 | Conference Paper | LibreCat-ID: 48476
M. Hesse, J. Timmermann, and A. Trächtler, “Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform*,” 2023, doi: 10.23919/ecc57647.2023.10178368.
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2023 | Conference Paper | LibreCat-ID: 48482 |
R.-S. Götte, J. N. Klusmann, and J. Timmermann, “Data-driven identification of disturbances using a sliding mode observer,” in Proceedings - 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, Berlin, Germany, 2023, pp. 113–123, doi: 10.5445/KSP/1000162754.
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2023 | Conference Paper | LibreCat-ID: 44326
R.-S. Götte and J. Timmermann, “Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF,” in IFAC-PapersOnLine, Yokohama, Japan, 2023, vol. 56, no. 2, pp. 869–874.
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2023 | Journal Article | LibreCat-ID: 50070 |
A. Junker, K. E. F. Pape, J. Timmermann, and A. Trächtler, “Adaptive Koopman-Based Models for Holistic Controller and Observer Design,” IFAC-PapersOnLine, vol. 56, no. 3, pp. 625–630, 2023, doi: 10.1016/j.ifacol.2023.12.094.
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2022 | Conference Paper | LibreCat-ID: 26389 |
A. Junker, J. Timmermann, and A. Trächtler, “Data-Driven Models for Control Engineering Applications Using the Koopman Operator,” in 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), Cairo, Egypt, pp. 1–9, doi: 10.1109/AIRC56195.2022.9836980.
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2022 | Conference Paper | LibreCat-ID: 26539 |
R.-S. Götte and J. Timmermann, “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), Cairo, Egypt, 2022, pp. 67–76, doi: 10.1109/AIRC56195.2022.9836982.
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2022 | Conference Paper | LibreCat-ID: 31066
O. Schön, R.-S. Götte, and J. Timmermann, “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), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Conference Paper | LibreCat-ID: 29803
M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “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), Online, 2022, pp. 383–394.
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2022 | Conference Paper | LibreCat-ID: 34011 |
A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomes Putten mittels datengetriebener und physikbasierter Methoden,” in Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, Berlin, Germany, 2022, pp. 119–124, doi: 10.5445/KSP/1000151141.
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2022 | Journal Article | LibreCat-ID: 50071 |
A. Junker, J. Timmermann, and A. Trächtler, “Learning Data-Driven PCHD Models for Control Engineering Applications*,” IFAC-PapersOnLine, vol. 55, no. 12, pp. 389–394, 2022, doi: 10.1016/j.ifacol.2022.07.343.
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2018 | Book Chapter | LibreCat-ID: 22984
C. Lüke, J. Timmermann, J. H. Kessler, and A. Trächtler, “Intelligente Steuerungen und Regelungen,” in Steigerung der Intelligenz mechatronischer Systeme, vol. 1, Springer Vieweg, 2018, pp. 153–192.
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2018 | Journal Article | LibreCat-ID: 22996
M. Hesse, J. Timmermann, E. Hüllermeier, and A. Trächtler, “A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart,” Procedia Manufacturing, vol. 24, pp. 15–20, 2018.
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2017 | Conference Paper | LibreCat-ID: 23005
K. Xu, J. Timmermann, and A. Trächtler, “Nonlinear Model Predictive Control with Discrete Mechanics and Optimal Control,” in Proc. Advanced Intelligent Mechatronics (AIM), 2017.
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2017 | Conference Paper | LibreCat-ID: 23006
K. Xu, J. Timmermann, and A. Trächtler, “Swing-up of the moving double pendulum on a cart with simulation based LQR-Trees,” in Proc. 20th IFAC World Congress, 2017.
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2014 | Journal Article | LibreCat-ID: 23110
K. Flaßkamp, J. Timmermann, S. Ober-Blöbaum, and A. Trächtler, “Control strategies on stable manifolds for energyefficient swing-ups of double pendula,” International Journal of Control, vol. DOI: 10.1080/00207179.2014.893450, pp. 1–20, 2014.
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2014 | Dissertation | LibreCat-ID: 42237 |
J. Timmermann, Optimale Steuerung und Mehrzieloptimierung von dynamischen Systemen untersucht am Beispiel des Mehrfachpendels. 2014.
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2012 | Conference Paper | LibreCat-ID: 23161
K. Flaßkamp, J. Timmermann, S. Ober-Blöbaum, M. Dellnitz, and A. Trächtler, “Optimal Control on Stable Manifolds for a Double Pendulum,” in Proceedings in Applied Mathematics and Mechanics, 2012, vol. 12(1), pp. 723–724.
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2011 | Conference Paper | LibreCat-ID: 23182
D. Bielawny, M. Krüger, P. Reinold, J. Timmermann, and A. Trächtler, “Iterative learning of Stochastic Disturbance Profiles Using Bayesian Networks,” in 9th International Conference on Industrial Informatics (INDIN), 2011.
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