Dr.-Ing. Zonglin Liu
M.Sc. Lukas Markolf

• to interpret the difference between feasible and optimal control strategies
• to understand and reason about the underlying mathematical theory of optimal control
• to design optimal controllers for linear and nonlinear systems
• to assess the possibilities and limitations of optimal control in design and application

• Principle of optimality

• Dynamic programming

• Hamilton-Jacobi-Bellman equation

• Pontryagin’s minimum principle

• Boundary value problems

• H2-norm of generalized system plants

• Linear quadratic control

• Kalman filter

• Lecture Material
• E. Kirk: Optimal Control Theory, Dover, 1998
• D. O. Anderson, J. B. Moore: Optimal Control - Linear Quadratic Methods, Dover 2007

• Content of the courses Fundamentals of Controls, Linear and Nonlinear Control Systems

3L + 1T, 4 Credits
(L: lecture hours per week, T: tutorial hours per week)
The course is offered in the summer semester; the examination in the winter and summer semester (in English only)

- to be inserted -

Master of Electrical Engineering, Master of Mechatronics, open as elective course within other Master program