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Robust dissipative filtering for time-delay T-S fuzzy systems

  • Heilongjiang University

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

Abstract

The robust dissipative filtering problem of nonlinear systems with time-delay which can be represented by Takagi-Sugeno (T-S) fuzzy models with time-delay is addressed. The parametric uncertainty is assumed to be norm bounded. Based on delay-dependent Lyapunov functional approach, some sufficient conditions for the existence of robust dissipative filters are provided. With the help of linear matrix inequality (LMI) method, robust dissipative delay-dependent filters are designed such that, for all admissible uncertainties and time delays, the resulting filtering error system is robustly stable and satisfies the proposed dissipative performance. The effectiveness of the proposed method can be shown by the simulation example.

Original languageEnglish
Title of host publicationProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
Pages1581-1586
Number of pages6
DOIs
StatePublished - 2011
Event2011 Chinese Control and Decision Conference, CCDC 2011 - Mianyang, China
Duration: 23 May 201125 May 2011

Publication series

NameProceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Conference

Conference2011 Chinese Control and Decision Conference, CCDC 2011
Country/TerritoryChina
CityMianyang
Period23/05/1125/05/11

Keywords

  • Delay-dependent
  • LMI
  • T-S fuzzy system
  • robust dissipative filter

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