Advanced Automatic Control follows or can be studied in parallel with Automatic Control course E371047 or E371147. It becomes an important and integral part of modern manufactury and industrial processes for attaining optimal performance of dynamic systems. The objective is to build on the introductory course of Automatic Control to explain the essentials of advanced automatic control like state-space representation and analysis of control systems, solving state equations, controllability, observability, pole placement, state observers and related topics. Some seminaries are arranged in the laboratory where state-space control systems are trained. Students work with Matlab software as a common platform of control engineers

1. Introductory notes
2. Modelling in State-Space
3. State-Space Representation.
4. Laplace Transform for State-Space
5. State-Space Transfer Functions
6. State Models with Matlab
7. Solving State Equations
8. Controllability and Observability
9. State Feedback
10. Pole Placement
11. State Observers
12. State Space Stability
13. Root Locus and Quadratic Control
14. Automatic Control by Virtual Reality

Course E371047 or E371147