352-0550/01 – Advanced Methods of Automatic Control (PMAŘ)
| Gurantor department | Department of Control Systems and Instrumentation | Credits | 4 |
| Subject guarantor | doc. Ing. Renata Wagnerová, Ph.D. | Subject version guarantor | doc. Ing. Renata Wagnerová, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2011/2012 | Year of cancellation | |
| Intended for the faculties | FS, USP | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The subject “Advanced Methods of Automatic Control ” belongs among subjects, which form the graduate profile of the student in master study program “Mechatronics”. Its objective is acquainting with the advanced methods, which are used in theory of automatic control. These methods are robust and optimal control.
Teaching methods
Lectures
Tutorials
Summary
Robustness of the control system with analog controller. Optimal control systems, optimality criteria, methods of optimal control design. Robust control, control in sliding modes.
Compulsory literature:
Recommended literature:
ARIMOTO, S. Control Theory of Non-linear Mechanical Systems. A Passivity-based and Circuit-theoretic Approach. Clarendon Press, Oxford, 1996
CANUDAS DE WIT, C. ,SICILIANO, B., BASTIN, G. Theory of Robot Control. Springer – Verlag, Berlin, 1996
Additional study materials
Way of continuous check of knowledge in the course of semester
Final test
E-learning
Other requirements
Delivery of two specified programs.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Acquainting with problems and content of subject. Mathematical models of linear MIMO dynamic elements.
2. MIMO control systems, stability, autonomity, invariance..
3. Synthesis of linear MIMO control systems.
4. State-space models of MIMO systems and their behavior.
5. Basic problems of optimal control. Dynamic programming. Bellman principle of optimality.
6. Quadratic optima control, Potriagin minimum principle.
7. Time optimal control, robust control methods.
8. Control in sliding modes.
9. Method of state variables aggregation.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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