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Tim Martin

M.Sc.

Research Assistant
Institute for Systems Theory and Automatic Control

Contact

+49 711 685 66316
 +49 711 685 67735

Pfaffenwaldring 9
70569 Stuttgart
Germany
Room: 2.236

Office Hours

On appointment.

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, T. B. Schön, and F. Allgöwer, “Gaussian inference for data-driven state-feedback design of nonlinear systems,” in 22nd IFAC World Congress, 2023, pp. 4796–4803. doi: doi.org/10.1016/j.ifacol.2023.10.1245.
    2. T. Martin and F. Allgöwer, “Determining dissipativity for nonlinear systems from noisy data using Taylor polynomial approximation,” in Proc. American Control Conf. (ACC), Atlanta, GA, USA, 2022, pp. 1432–1437. doi: 10.23919/ACC53348.2022.9867806.
    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, 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), 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), 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), Nice, France, 2019, pp. 3605–3610. doi: 10.1109/CDC40024.2019.9029804.

  2. (Journal-) Articles

    1. A. Bozza, T. Martin, G. Cavone, R. Carli, M. Dotoli, and F. Allgöwer, “Online Data-Driven Control of Nonlinear Systems Using Semidefinite Programming,” IEEE Control Systems Lett., vol. 8, pp. 3189–3194, 2024, doi: 10.1109/LCSYS.2024.3521645.
    2. T. Martin and F. Allgöwer, “Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation,” IEEE Transactions on Automatic Control, vol. 69, Art. no. 7, 2024, doi: 10.1109/TAC.2023.3321212.
    3. T. Martin, T. B. Schön, and F. Allgöwer, “Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey,” Annual Reviews in Control, vol. 56, p. 100911, 2023, doi: 10.1016/j.arcontrol.2023.100911.
    4. 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, vol. 68, Art. no. 5, 2023, doi: 10.1109/TAC.2022.3226652.
    5. T. Martin and F. Allgöwer, “Data-driven system analysis of nonlinear systems using polynomial approximation,” IEEE Trans. Automat. Control (early access), 2023, doi: 10.1109/TAC.2023.3321212.
    6. T. Martin and F. Allgöwer, “Dissipativity verification with guarantees for polynomial systems from noisy input-state data,” IEEE Control Systems Lett., vol. 5, Art. no. 4, 2021, doi: 10.1109/LCSYS.2020.3037842.
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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