On completion of the course, the student should be able to:
determine poles and zeros of multivariable dynamic models represented in state space form and as transfer functions
analyse non-linear control systems
analyse given specifications for a control system and decide if these can be fulfilled, and if the control problem is hard or not
design controllers for linear multivariable systems based on internal model control, optimisation of H-2 and H-infinity criteria, and robust control
solve simpler optimal control problems
Profound mathematical description of linear multivariable systems. Controller synthesis. Sensitivity and robustness for multivariable systems. Theoretical limitations of performance. Robust loop shaping. Analysis of control systems with simple nonlinearities. Optimal control.
Lectures, problem solving sessions and homework assignments.
Homework assignments. Complementary written examination may occur.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.