- Teacher: Jan Štecha
- Teacher: Lukas Ferkl
- Teacher: Jirka Roubal
The course deals with different description of dynamic systems - continuous, discrete, stochastic - state space and input-output description of them. Basic identification methods are introduced to show how to obtain the model of the system from the data. The next part of the course analyses the properties of the system - stability, reachability, observability and realizability. The last part of the course covers theory how to change the dynamical properties of the system - state space feedback, state observer and stabilizing controllers.- Write a concise and interesting paragraph here that explains what this course is about
- This advanced course will cover modern design methods for optimal and robust control like LQ-optimal control, time-optimal (bang-bang) control, Hinf-optimal control, mixed-sensitivity minimization, DK-iteration, robust loopshaping. Semidefinite programming and linear matrix inequalities (LMI) will be covered as they constitute a an ellegant theoretical and powerful computation tool for solving all those tasks. Emphasis in the course will be put on the actual computational design skills (in Matlab).
