Contact
+49 711 685 67744
+4971168567735
Email
Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 3.234
Office Hours
On appointment
Subject
I'm working in the field of Model Predictive Control (MPC). My research focuses on robust MPC for uncertain systems that are affected by disturbances.
- L. Schwenkel, A. Hadorn, M. A. Müller, and F. Allgöwer, “Linearly discounted economic MPC without terminal conditions for periodic optimal operation,” 2022. [Online]. Available: https://arxiv.org/abs/2205.03118
- L. Schwenkel, J. Köhler, M. A. Müller, and F. Allgöwer, “Model predictive control for linear uncertain systems using integral quadratic constraints,” Trans. Automat. Control, 2022, doi: 10.1109/TAC.2022.3171410.
- C. Klöppelt, L. Schwenkel, F. Allgöwer, and M. A. Müller, “Transient Performance of Tube-based Robust Economic Model Predictive Control,” in Proc. IFAC Conf. Nonlinear Model Predictive Control (NMPC), Bratislava, Slovakia, 2021, pp. 28–35. doi: 10.1016/j.ifacol.2021.08.520.
- L. Schwenkel, M. Guo, and M. Bürger, “Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration,” in Proceedings of the Conference on Robot Learning, 2020, vol. 100, pp. 273--282. [Online]. Available: http://proceedings.mlr.press/v100/schwenkel20a.html
- J. Köhler, L. Schwenkel, A. Koch, J. Berberich, P. Pauli, and F. Allgöwer, “Robust and optimal predictive control of the COVID-19 outbreak,” Annual reviews in Control, 2020.
- L. Schwenkel, J. Köhler, M. A. Müller, and F. Allgöwer, “Dynamic uncertainties in model predictive control: Guaranteed stability for constrained linear systems,” in 59th IEEE Conference on Decision and Control (CDC), 2020, pp. 1235–1241. [Online]. Available: https://doi.org/10.1109/CDC42340.2020.9303819
- L. Schwenkel, M. Gharbi, S. Trimpe, and C. Ebenbauer, “Online learning with stability guarantees: A memory-based warm-starting for real-time MPC,” Automatica, vol. 122, p. 109247, 2020, doi: https://doi.org/10.1016/j.automatica.2020.109247.
- L. Schwenkel, J. Köhler, M. A. Müller, and F. Allgöwer, “Robust Economic Model Predictive Control without Terminal Conditions,” 2020. doi: 10.1016/j.ifacol.2020.12.465.
- L. Schwenkel, M. Gharbi, S. Trimpe, and C. Ebenbauer, “Online learning with stability guarantees: A memory-based real-time model predictive controller,” arXiv:1812.09582, 2018. [Online]. Available: https://arxiv.org/abs/1812.09582
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WS 2022/23 |
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WS 2021/22 |
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SS 2021 |
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WS 2020/21 |
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SS 2020 |
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WS 2019/20 |
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since 07/2019 |
Research Assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart |
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04/2017 − 05/2019 |
Master studies Engineering Cybernetics at the University of Stuttgart Master thesis: "Leveraging Data in Model Predictive Control" |
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12/2018 − 05/2019 |
Internship at Bosch Center for Artificial Intelligence (BCAI), Robert Bosch GmbH, Renningen Topic: Learning from Demonstration |
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10/2014 − 03/2017 |
Bachelor studies Engineering Cybernetics at the University of Stuttgart Bachelor thesis: "Accelerated Gradient Methods for Convex Optimization" |
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10/2012 − 09/2014 |
Studies Mathematics and Physics for teaching at the University of Tübingen, without graduation due to change of subject. |
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06/2012 |
Abitur at the Graf Eberhard Gynmasium in Bad Urach |