This image shows Tim Martin

Tim Martin

M.Sc.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 66316
 +4971168567735

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.

  1. Conference papers

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  2. (Journal-) Articles

    1. 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.
    2. 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.
    3. 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.
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.

  • Master thesis:
    "Dissipativity and Economic Model Predictive Control for Optimal Set Operation."

10/2012-09/2015

Bachelor studies Engineering Cybernetics at the University of Stuttgart, Germany.

  • Bachelor thesis:
    "Vergleich nichtlinearer Beobachterstrukturen zur Eigenfrequenzschätzung der Stuttgart SmartShell."
06/2012 Abitur at Ellentalgymnasien Bietigheim-Bissingen.

         

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