Robust Control
Code | Completion | Credits | Range |
---|---|---|---|
XD35ROR | Z,ZK | 4 | 19+2s |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Control Engineering
- Synopsis:
-
Every mathematical model of a real system is more or less uncertain. If the uncertainty cannot be ignored, classical and modern control techniques may fail. In such a case, we can still use a robust controller that is simple, off-line designed yet able to guarantee the desired behavior on the whole uncertainty range. The course introduces various methods for analysis of uncertain systems and for robust control design. The lectures are supported by on-line simulations using modern software packages for robust control.
- Requirements:
- Syllabus of lectures:
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1. Uncertainty, robustness and fragility. Structured and unstructured uncertainties
2. Single parameter uncertainty
3. Interval polynomials
4. Value set and graphical methods
5. Value set and graphical methods
6. Edge theorem
7. Simultaneous stabilization
8. Unstructured uncertainties
9. Norms for signals and systems
10. Robust design based on H-infinity norm
11. Loop-shaping
12. H-2 and H-infinity design
13. Mu-syntehsis
14. Linear matrix inequalities
- Syllabus of tutorials:
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1.-2. Matlab and toolboxes for robust control
3.-4. Polynomial toolbox for Matlab
5.-6. Single parameter problems
7.-8. Analysis of interval polynomials
9. 10. Polytopic uncertainties
11.-12. H-infinity design
13.-14. Linear matrix inequalities
- Study Objective:
- Study materials:
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1. Barmish: New Tools for Robustness of Linear Systems. Mcmillan, New York 1994
2. Doyle, Francis, Tannenbaum: Feedback Control of Linear Systems. Mcmillan, New York 1992
3. Boyd, El Ghaoui, Feron, Balakrishnan: Linear Matrix Inequalities in System and Control Theory. SIAM, Philadelphia 1994
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Cybernetics and Measurements - Control Engineering- structured studies (compulsory elective course)
- Cybernetics and Measurements - Artificial Intelligence- structured studies (compulsory elective course)
- Cybernetics and Measurements - Measurement and Instrumentation Systems- structured studies (compulsory elective course)
- Cybernetics and Measurements - Aeronautical Engineering and Control Systems- structured studies (compulsory elective course)