Difference between revisions of "Robust Performance"
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|Previous chapter=Frequency Domain Design | |Previous chapter=Frequency Domain Design | ||
|Next chapter=Fundamental Limits | |Next chapter=Fundamental Limits | ||
| − | |First edition URL= | + | |First edition URL=https://www.cds.caltech.edu/~murray/amwiki/index.php?title=Robust_Performance#Frequently_Asked_Questions |
|Chapter summary=This chapter focuses on the analysis of robustness of feedback systems, a vast topic for which we provide only an introduction to some of the key concepts. We consider the stability and performance of systems whose process dynamics are uncertain. We make use of generalizations of Nyquist’s stability criterion as a mechanism to characterize robust stability and performance. To do this we develop ways to describe uncertainty, both in the form of parameter variations and in the form of neglected dynamics. We also briefly mention some methods for designing controllers to achieve robust performance. | |Chapter summary=This chapter focuses on the analysis of robustness of feedback systems, a vast topic for which we provide only an introduction to some of the key concepts. We consider the stability and performance of systems whose process dynamics are uncertain. We make use of generalizations of Nyquist’s stability criterion as a mechanism to characterize robust stability and performance. To do this we develop ways to describe uncertainty, both in the form of parameter variations and in the form of neglected dynamics. We also briefly mention some methods for designing controllers to achieve robust performance. | ||
|Chapter contents=# Modeling Uncertainty | |Chapter contents=# Modeling Uncertainty | ||
Revision as of 21:35, 28 August 2021
| Prev: Frequency Domain Design | Chapter 13 - Robust Performance | Next: Fundamental Limits |
This chapter focuses on the analysis of robustness of feedback systems, a vast topic for which we provide only an introduction to some of the key concepts. We consider the stability and performance of systems whose process dynamics are uncertain. We make use of generalizations of Nyquist’s stability criterion as a mechanism to characterize robust stability and performance. To do this we develop ways to describe uncertainty, both in the form of parameter variations and in the form of neglected dynamics. We also briefly mention some methods for designing controllers to achieve robust performance.