Contact
+49 711 685 66316
+4971168567735
Email
Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 2.236
Office Hours
On appointment in my webex room.
Subject
I'm working on the field of data-based system analysis and control. In particular, I consider the verification of system properties (dissipativity, IQCs, nonlinearity measures,...) and the design of state feedback laws for nonlinear systems from noisy system trajectories.
Conference papers
- T. Martin and F. Allgöwer, “Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation,” in Proc. American Control Conf. (ACC), in Proc. American Control Conf. (ACC). Atlanta, GA, USA, 2022, pp. 1432–1437. doi: 10.23919/ACC53348.2022.9867806.
- T. Martin, T. B. Schön, and F. Allgöwer, “Gaussian inference for data-driven state-feedback design of nonlinear systems,” in 22nd IFAC World Congress (accepted), Preprint: arXiv:2211.05639, in 22nd IFAC World Congress (accepted), Preprint: arXiv:2211.05639. 22nd IFAC World Congress (accepted), Preprint: arXiv:2211.05639, 2022.
- T. Martin, A. Koch, and F. Allgöwer, “Data-driven surrogate models for LTI systems via saddle-point dynamics,” in Proc. 21st IFAC World Congress, in Proc. 21st IFAC World Congress. Berlin, Germany, 2020, pp. 971–976. doi: 10.1016/j.ifacol.2020.12.1261.
- T. Martin and F. Allgöwer, “Iterative data-driven inference of nonlinearity measures via successive graph approximation,” in Proc. 59th IEEE Conf. Decision and Control (CDC), in Proc. 59th IEEE Conf. Decision and Control (CDC). Jeju, South Korea, 2020, pp. 4760–4765. doi: 10.1109/CDC42340.2020.9304285.
- T. Martin, P. N. Köhler, and F. Allgöwer, “Dissipativity and Economic Model Predictive Control for Optimal Set Operation,” in Proc. American Control Conf. (ACC), in Proc. American Control Conf. (ACC). Philadelphia, PA, USA, 2019, pp. 1020–1026. doi: 10.23919/ACC.2019.8814305.
- T. Martin and F. Allgöwer, “Nonlinearity Measures for Data-Driven System Analysis and Control,” in Proc. 58th IEEE Conf. Decision and Control (CDC), in Proc. 58th IEEE Conf. Decision and Control (CDC). Nice, France, 2019, pp. 3605–3610. doi: 10.1109/CDC40024.2019.9029804.
(Journal-) Articles
- T. Martin and F. Allgöwer, “Data-driven system analysis of nonlinear systems using polynomial approximation,” IEEE Trans. Automat. Control (submitted), Preprint: arXiv:2108.11298, 2022.
- T. Martin and F. Allgöwer, “Dissipativity verification with guarantees for polynomial systems from noisy input-state data,” IEEE Control Systems Lett., vol. 5, no. 4, Art. no. 4, 2021, doi: 10.1109/LCSYS.2020.3037842.
- T. Martin and F. Allgöwer, “Data-driven inference on optimal input-output properties of polynomial systems with focus on nonlinearity measures,” IEEE Trans. Automat. Control (early access), 2021, doi: 10.1109/TAC.2022.3226652.
- Praktikum ERT SS 2018, SS 2019, SS 2020, SS 2021, SS 2022
- Projektwettbewerb ERT SS 2019
- Roborace: 2018, 2019, summer 2021, winter 2021, 2022
- Assistent: Introduction to Adaptive Control 2018
- Projektarbeit Maschinenbau "Konstruktion, Modellierung und Regelung eines Lego Mindstorms Fahrrads" WS 2019, WS 2020, WS 2021, SS2022, WS 2022
Since 05/2018 | Research and teaching assistant at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany.. |
4/2017−09/2017 | Internship at ITK Engineering |
10/2015-05/2018 |
Master studies Engineering Cybernetics at the University of Stuttgart, Germany.
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10/2012-09/2015 |
Bachelor studies Engineering Cybernetics at the University of Stuttgart, Germany.
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06/2012 | Abitur at Ellentalgymnasien Bietigheim-Bissingen. |