Robust H control for stochastic T-S fuzzy systems via integral sliding-mode approach

  • Qing Gao
  • , Gang Feng
  • , Lu Liu
  • , Jianbin Qiu
  • , Yong Wang

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a novel dynamic integral sliding-mode control (ISMC) scheme is proposed for a class of uncertain stochastic nonlinear time-delay systems represented by Takagi-Sugeno fuzzy models. The key advantage of the proposed scheme is that two very restrictive assumptions in most existing ISMC approaches for stochastic fuzzy systems have been removed. It is shown that the closed-loop control system trajectories are kept on the integral sliding surface almost surely since the initial time. It is also shown that the stochastic stability of the resulting sliding motion can be guaranteed in terms of linear matrix inequalities, and moreover, the sliding-mode controller can be obtained simultaneously. Simulation results from an inverted pendulum example illustrating the advantages and effectiveness of the proposed approaches are provided in the end.

Original languageEnglish
Article number6576824
Pages (from-to)870-881
Number of pages12
JournalIEEE Transactions on Fuzzy Systems
Volume22
Issue number4
DOIs
StatePublished - Aug 2014
Externally publishedYes

Keywords

  • Dynamic sliding-mode controllers
  • integral sliding-mode control (ISMC)
  • stochastic fuzzy systems
  • time delay

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