Robust H stabilization of uncertain T-S fuzzy systems via dynamic integral sliding mode control

  • Qing Gao
  • , He Huang
  • , Gang Feng
  • , Lu Liu
  • , Yong Wang

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

Abstract

This paper addresses the integral sliding mode control (ISMC) design problem for nonlinear systems represented by T-S fuzzy systems with norm bounded parameter uncertainties. It is noted that most existing fuzzy ISMC approaches rely on a very restrictive assumption that all subsystems of the T-S fuzzy systems share the same input gain matrix. In order to remove this assumption, we proposed a novel dynamic integral sliding mode control scheme for T-S fuzzy systems. Reachability of the integral sliding surface is analyzed and asymptotic stability of the sliding motion are guaranteed if a set of linear matrix inequalities is feasible. Simulation results from a numerical example are provided to illustrate the effectiveness and advantages of the proposed approaches.

Original languageEnglish
Title of host publication3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Proceedings
PublisherIFAC Secretariat
Pages485-490
Number of pages6
EditionPART 1
ISBN (Print)9783902823458
DOIs
StatePublished - 2013
Externally publishedYes
Event3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Chengdu, China
Duration: 2 Sep 20134 Sep 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume3
ISSN (Print)1474-6670

Conference

Conference3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013
Country/TerritoryChina
CityChengdu
Period2/09/134/09/13

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