352-0500/01 – Automatic Control Theory I (TAŘI)
Gurantor department | Department of Control Systems and Instrumentation | Credits | 5 |
Subject guarantor | doc. Ing. Renata Wagnerová, Ph.D. | Subject version guarantor | doc. Ing. Renata Wagnerová, Ph.D. |
Study level | undergraduate or graduate | | |
| | Study language | Czech |
Year of introduction | 2004/2005 | Year of cancellation | 2021/2022 |
Intended for the faculties | FS | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal of this subject is to obtain knowledge from the area of analysis and synthesis of MIMO systems.
Teaching methods
Lectures
Tutorials
Project work
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.
Compulsory literature:
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.
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Napsání dvou testů a vypracování tří zadaných programů.
E-learning
Other requirements
Prepare two projects.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
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.
Conditions for subject completion
Conditions for completion are defined only for particular subject version and form of study
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction