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Robust passive control for T-S fuzzy systems

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a design method of robust passive controllers for continuous-time Takagi-Sugenon (T-S) fuzzy systems. The parametric uncertainty is assumed to be norm bounded. By applying the Lyapunov stability theory, a sufficient condition on the existence of robust passive controllers is given. With the help of linear matrix inequality (LMI), robust passive controllers are designed such that the closed-loop system is robust stable and satisfies the passive performance. Furthermore, a convex optimization problem with LMI constraints is formulated to design robust passive controller with the maximum dissipation rate. A numerical example demonstrates the validity of this method.

Original languageEnglish
Title of host publicationComputational Intelligence International Conference on Intelligent Computing, ICIC 2006, Proceedings
PublisherSpringer Verlag
Pages146-151
Number of pages6
ISBN (Print)3540372741, 9783540372745
DOIs
StatePublished - 2006
Event2nd International Conference on Intelligent Computing, ICIC 2006 - Kunming, China
Duration: 16 Aug 200619 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4114 LNAI - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Intelligent Computing, ICIC 2006
Country/TerritoryChina
CityKunming
Period16/08/0619/08/06

Keywords

  • Linear matrix inequalities
  • Passive performance
  • Robust control
  • T-S fuzzy systems

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