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Technische Universität München

M.Sc. Johannes Teutsch

Technische Universität München
Theresienstraße 90
80333 München
Raum: 0105.02.507

Tel: +49 (89) 289 - 23404
Email: johannes.teutsch(at)tum.de

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Forschungsinteressen

  • Datengetriebene & lernbasierte Regelung
  • Robuste & stochastische modellprädiktive Regelung (MPC)

Data-driven Predictive Control of Uncertain Systems

Constraints on system variables, environmental uncertainties, and inexact system knowledge are a few factors that must be considered when designing safe controllers. Here, we develop efficient data-driven predictive controllers for uncertain systems with guarantees of constraint satisfaction and stability in closed-loop.

Kurze Biografie

Seit 11/2021Wissenschaftlicher Mitarbeiter / Doktorand
Lehrstuhl für Steuerungs- und Regelungstechnik
Technische Universität München (TUM)
10/2019 – 10/2021Master of Science, Elektro- und Informationstechnik
Fokus: Regelungstechnik, Automation, Maschinelles Lernen
Technische Universität München (TUM)
10/2016 – 07/2019Bachelor of Science, Elektro- und Informationstechnik
Fokus: Regelungstechnik, Schaltungstechnik
Technische Universität München (TUM)

Publikationen

2025

  • Daniels, Annalena; Teutsch, Johannes; Kleindienst, Fabian; Leibold, Marion; Wollherr, Dirk: Active Fault Identification and Robust Control for Unknown Bounded Faults via Volume-Based Costs. 2025 6th International Conference on Control and Fault-Tolerant Systems (SysTol), IEEE, 2025 mehr…
  • Molodchyk, Oleksii; Teutsch, Johannes; Faulwasser, Timm: Towards safe Bayesian optimization with Wiener kernel regression. 2025 European Control Conference (ECC), IEEE, 2025, 7 mehr…
  • Teutsch, Johannes; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty. IEEE Transactions on Automatic Control, 2025 mehr…

2024

  • Teutsch, Johannes; Narr, Christopher; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. 2024 IEEE 63rd Conference on Decision and Control, CDC, 2024, 8 mehr…

2023

  • Kerz, Sebastian; Teutsch, Johannes; Brüdigam, Tim; Leibold, Marion; Wollherr, Dirk: Data-Driven Tube-Based Stochastic Predictive Control. IEEE Open Journal of Control Systems , 2023 mehr…
  • Teutsch, Johannes; Ellmaier, Sebastian; Kerz, Sebastian; Wollherr, Dirk; Leibold, Marion: An Online Adaptation Strategy for Direct Data-driven Control. IFAC World Congress, 2023, 6 mehr…
  • Teutsch, Johannes; Kerz, Sebastian; Brüdigam, Tim; Wollherr, Dirk; Leibold, Marion: Offline Uncertainty Sampling in Data-driven Stochastic MPC. IFAC World Congress, 2023, 7 mehr…

2021

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion; Buss, Martin: Probabilistic Model Predictive Control for Extended Prediction Horizons. at - Automatisierungstechnik 69 (9), 2021, 759-770 mehr…

2020

  • Brüdigam, Tim; Teutsch, Johannes; Wollherr, Dirk; Leibold, Marion: Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. 21st IFAC World Congress, 2020 mehr…
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