DORF, R. C. & BISHOP, R. H. Modern Control Systems. Addison-Wesley : Harlow
England 1998. ISNB 0-201-30864-9.
SHINNERS, S. M. Modern Control Systems Theory and Design. John Wiley and Sons,
New York, 1992, ISBN 0-471-5508-6.
Terminated in academic year 2021/2022
Automatic Control Theory I
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 352-0500/01 |
| Abbreviation | TAŘI |
| Course title | Automatic Control Theory I |
| Credits | 5 |
| Coordinating department | Department of Control Systems and Instrumentation |
| Course coordinator | doc. Ing. Renata Wagnerová, Ph.D. |
Subject syllabus
1. Mathematical models of continuous and discrete linear MIMO control systems.
2. Bolock diagram algebra, basic transfer function matrices and stability continuous and discrete linear MIMO control systems.
3. Stybility of continuous and discrete linear MIMO control systems.
4. Autonomity, invariance and systhesis of continuous and discrete linear MIMO control systems.
5. Synthesis of continuous and discrete linear MIMO control systems.
6. State space models of elements of continuous and discrete linear MIMO control systems.
7. Solution of continuous and discrete linear state equations.
8. Controllability, stabilizability, observability and detectability of continuous and discrete linear MIMO systems.
9. Basic canonical forms of continuous and discrete linear state space models, mutual conversion.
10. Design of state controller and observer for continuous and discrete linear systems.
11. Design of state controller and observer for continuous and discrete linear systems.
12. Fuzzy sets and logic.
13. Linguistic and fuzzy models of dynamic systems.
14. Linguistic and fuzzy control algorithms. Fuzzification, inference mechanism and defuzification.
2. Bolock diagram algebra, basic transfer function matrices and stability continuous and discrete linear MIMO control systems.
3. Stybility of continuous and discrete linear MIMO control systems.
4. Autonomity, invariance and systhesis of continuous and discrete linear MIMO control systems.
5. Synthesis of continuous and discrete linear MIMO control systems.
6. State space models of elements of continuous and discrete linear MIMO control systems.
7. Solution of continuous and discrete linear state equations.
8. Controllability, stabilizability, observability and detectability of continuous and discrete linear MIMO systems.
9. Basic canonical forms of continuous and discrete linear state space models, mutual conversion.
10. Design of state controller and observer for continuous and discrete linear systems.
11. Design of state controller and observer for continuous and discrete linear systems.
12. Fuzzy sets and logic.
13. Linguistic and fuzzy models of dynamic systems.
14. Linguistic and fuzzy control algorithms. Fuzzification, inference mechanism and defuzification.
Literature
Advised literature
Westphal, L. C. Sourcebook of Control System Engineering. Chapman and Hall,
London, 1995, ISBN 0-534-94451-5.
London, 1995, ISBN 0-534-94451-5.