Prof. Dr.-Ing. O. Stursberg
M.Sc. Marcel Rüger

Learn about principles and properties of dynamic systems which are characterized by the combination of continuous and discrete-event behavior and/or networked structures. The course covers techniques of formal modeling, analysis, control design, and optimization tailored to hybrid dynamic systems and networked control systems.

• Modeling of continuous-discrete systems by hybrid automata
• Hybrid Petri nets und hybrid statecharts
• Numeric Simulation of hybrid systems
• Stability of switched and switching systems
• Reachability analysis and algorithmic verification
• Controller design for hybrid systems
• Hybrid optimal control
• Modeling of networked control systems
• Stability of networked systems
• Control design for networked and cooperative systems

• A.J. v.d. Schaft, H. Schumacher: An Introduction to Hybrid Dynamical Systems, Springer-Verlag, 2000.
• A.S. Matveev, A.V. Savkin: Qualitative Theory of Hybrid Dynamical Systems. Birkhäuser-Verlag, 2000.
• J. Lunze, F. Lamnabhi-Lagarrigue (Eds.): Handbook of Hybrid Systems Control, Cambridge University Press, 2009.
• S. Engell, G. Frehse, E. Schnieder (Eds.): Modelling, Analysis, and Design of Hybrid Systems, Springer-Verlag, 2002.
•  D: Hristu-Varsakelis, W.S. Levine: Handbook of Networked and Embedded Control Systems, Birkhäuser, 2005.

Material of the courses Linear Control Systems, Discrete-Event Systems and Control Theory, and Nonlinear Control Systems (or similar)

3 L + 1 T, 6 Credit Points

(L: lecture hours per week; T: tutorial hours per week)

The course is offered in the winter semester; the examination in the winter and summer semester (in English language only).

Note that the submission of a homework solution is mandatory for admittance to the exam.

FB16 - 4455

Master Electrical Engineering
Master Mechatronics