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Fuzzy observer design for nonlinear stochastic time-delay systems via sliding mode control

  • Fei Jia*
  • , Kun Liu
  • *Corresponding author for this work
  • Binzhou University
  • University of Science and Technology Beijing

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses the problem of observer-based sliding mode control for nonlinear stochastic time-delay systems represented by Takagi-Sugeno (T-S) fuzzy model. A delay-dependent sufficient condition for the asymptotic stability (in probability) of the overall closed-loop fuzzy stochastic system is derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) are feasible, the sliding mode in the estimation space can be attained in finite time. Finally, a simulation example is shown to illustrate the proposed method.

Original languageEnglish
Pages (from-to)449-455
Number of pages7
JournalAdvances in Systems Science and Applications
Volume10
Issue number3
Publication statusPublished - 2010
Externally publishedYes

Keywords

  • Delay-dependent
  • Sliding-mode control
  • Stochastic system
  • Takagi-Sugeno(T-S)

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