Teaching Experience
Signals and Systems II
Semester: Spring Semester 2024, 2023, 2022, 2021
Lecturer: Prof. John Lygeros
Description: This course covers continuous and discrete time linear system theory, state space methods, and frequency domain methods. It explores controllability, observability, and stability in dynamical systems.
Key Topics: Dynamical systems modeling, linear systems, stability analysis, frequency domain analysis, sampled data systems, and advanced topics including nonlinear systems and hybrid systems.
Game Theory and Control
Semester: Autumn Semester 2024
Lecturer: Dr. Saverio Bolognani
Description: An introduction to game theory and its applications in control and optimization of dynamical systems, focusing on non-cooperative game theory and its use in solving control design problems.
Key Topics: Game theory fundamentals, zero-sum and non-zero-sum games, Nash and Stackelberg equilibria, potential games, multi-stage games, auction mechanisms, and evolutionary games.
Student Projects
Ongoing projects:
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Robust Covariance Steering
Student: Andrey Kharitenko
Co-supervisor: Anastasios Tsiamis, Niklas Schmid
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Reinforcement Learning Optimal Control with Linear Temporal Logic Constraints
Student: Jonathan Hilberg
Co-supervisor: Niklas Schmid
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Learning the Uncertainty via Bilevel Optimization
Student: Jonas Ohnemus
Co-supervisor: Riccardo Zuliani
For more information on available projects, please visit the Automatic Control Laboratory projects page .