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Probabilistic search algorithms for robust stability analysis and their complexity properties

  • Pramod P. Khargonekar
  • Ashok Tikku
Part A Learning And Computational Issues
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 241)

Abstract

In this paper, we consider several robust control analysis and design problems. As has become well known over the last few years, most of these problems are NP hard. We show that if instead of worst-case guaranteed conclusions, one is willing to draw conclusions with a high degree of confidence, then the computational complexity decreases dramatically.

Keywords

Robust Control Robust Stability Continuous Random Variable Order Controller Ordinal Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • Pramod P. Khargonekar
    • 1
  • Ashok Tikku
    • 1
  1. 1.Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn Arbor

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