| Course Unit Code | 352-0500/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| VIT40 | prof. Ing. Antonín Víteček, CSc.,Dr.h.c. |
| WAG52 | doc. Ing. Renata Wagnerová, Ph.D. |
| Summary |
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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.
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| Learning Outcomes of the Course Unit |
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| The goal of this subject is to obtain knowledge from the area of analysis and synthesis of MIMO systems. |
| Course Contents |
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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 |
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| Required Reading: |
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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.
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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
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| Recommended Reading: |
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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
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Tasks are not Defined |