Adaptive robust control by set membership estimation and switching: Stability and performance analysis

Kiriakos Kiriakidis, Anthony Tzes

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Adaptive control of time-invariant plants, in the presence of unmodeled dynamics and bounded disturbances, via set membership identification is proposed. The set estimator maps the uniformly bounded normalized equation error on parametric error characterizing the modeled part of the plant. Based on the set estimator and implemented by fuzzy logic, a switching control policy improves the system performance. At the same time, through stabilization against the parameter uncertainty, the policy renders the closed-loop modeled dynamics robust with respect to the equation error mechanisms.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages3743-3748
Number of pages6
StatePublished - 1996
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0191-2216

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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  • Cite this

    Kiriakidis, K., & Tzes, A. (1996). Adaptive robust control by set membership estimation and switching: Stability and performance analysis. In Anon (Ed.), Proceedings of the IEEE Conference on Decision and Control (pp. 3743-3748). (Proceedings of the IEEE Conference on Decision and Control; Vol. 4).