Robust Performance

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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

PDF (24 Jul 2020)

  1. Modeling Uncertainty
    • Parametric Uncertainty
    • Unmodeled Dynamics
    • When Are Two Systems Similar?
    • The Vinnicombe Metric
  2. Stability in the Presence of Uncertainty
    • Robust Stability Using Nyquist's Criterion
    • Youla Parameterization
  3. Performance in the Presence of Uncertainty
    • Disturbance Attenuation
    • Response to Reference Signals
  4. Design for Robust Performance
    • Quantitative Feedback Theory
    • Linear Quadratic Control
    • $H\relax \p@index \infty $ Control
    • The Generalized Stability Margin
    • Disturbance Weighting
    • Limits of Robust Design
  5. Further Reading

Teaching Materials

Supplemental Information

Additional Exercises

The following exercises cover some of the topics introduced in this chapter. Exercises marked with a * appear in the printed text.

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