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In many practical control problems it is desired to
optimize a given cost functional while satisfying constraints involving dynamical systems.
These kind of problems typically fall into the area of optimal
control, a centerpiece of modern control theory.
This course gives an introduction to the theory and
application of optimal control for linear and nonlinear
systems. Topics covered in the course are:
- Dynamic programming
- Hamilton-Jacobi-Bellman theory
- Calculus of variations
- Pontryagin maximum principle
- Optimal trajectory tracking
- Model predictive control
- Numerical algorithms
- Applications
The course is intended to students having visited SGRT/ERT or RTI or equivalent
lectures.
The course is given in English.
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Universität Stuttgart