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ECTS Course Overview



Automatic Control Theory I

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code352-0500/01
Number of ECTS Credits Allocated5 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech, English
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
VIT40prof. Ing. Antonín Víteček, CSc.,Dr.h.c.
WAG52doc. Ing. Renata Wagnerová, Ph.D.
Summary
Mathematical models of continuous and discrete linear and nonlinear SISO and
MIMO dynamic systems. Continuous and discrete linear and nonlinear SISO and MIMO
control systems, sensitivity, stability criteria and design. State-space appproach.
Learning Outcomes of the Course Unit
The goal of this subject is to obtain knowledge from the area of analysis and synthesis of MIMO systems.
Course Contents
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.
Recommended or Required Reading
Required Reading:
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.
Balátě, J. Automatické řízení. Nakladatelství BEN, Praha, 2003 (2. vydání 2004)
Balátě, J. Vybrané statě z automatického řízení. FT VUT v Brně, 1996
Noskievič, P. Modelování a identifikace systémů. MONTANEX, Ostrava, 1999
Švarc, I. – Šeda, M. – Vítečková, M. Automatické řízení. Akademické vydavatelství CERM, VUT v Brně, 2007
Šulc, B. – Vítečková, M. Teorie a praxe návrhu regulačních obvodů.
Vydavatelství ČVUT, Praha, 2004
Recommended Reading:
Westphal, L. C. Sourcebook of Control System Engineering. Chapman and Hall,
London, 1995, ISBN 0-534-94451-5.
VÍTEČKOVÁ, M. Slovníky L- a Z-transformace s řešenými příklady. Ostrava: VŠB-
TU Ostrava, Fakulta strojní, 2005. 76 s. ISBN 80 - 248 – 0851 – X
Vítečková, M. Seřízení regulátorů metodou inverze dynamiky. FS VŠB-TU Ostrava,
1998, 2002
VÍTEČKOVÁ, M., VÍTEČEK, A. Základy automatické regulace. Ostrava: VŠB-TU
Ostrava, Fakulta strojní, 2006. 200 s. ISBN 80 - 248 – 1068 – 9
Planned learning activities and teaching methods
Lectures, Tutorials, Project work
Assesment methods and criteria
Tasks are not Defined