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Notice of Removal: A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T-S Fuzzy Systems

  • Baoping Jiang
  • , Hamid Reza Karimi*
  • , Yonggui Kao
  • , Cunchen Gao
  • *Corresponding author for this work
  • Ocean University of China
  • Polytechnic University of Milan
  • Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

This paper addresses the issue of robust fuzzy sliding mode control for continuous-Time nonlinear Takagi-Sugeno fuzzy systems with semi-Markovian switching. The focus is on designing a novel fuzzy integral sliding surface without assuming that the input matrices are the same with full column rank and then developing a fuzzy sliding-mode controller for stochastic stability purpose. Based on Lyapunov theory, a set of newly developed linear matrix inequality conditions are established for stochastic stability of the sliding-mode dynamics with generally uncertain transition rates, and then extended to where the input matrix is plant-rule-independent, as discussed in most existing literatures. Furthermore, finite-Time reachability of the sliding surface is also guaranteed by the proposed fuzzy sliding-mode control laws. A practical example is provided to demonstrate the effectiveness of the established method numerically.

Original languageEnglish
Article number8361447
Pages (from-to)3594-3604
Number of pages11
JournalIEEE Transactions on Fuzzy Systems
Volume26
Issue number6
DOIs
StatePublished - Dec 2018
Externally publishedYes

Keywords

  • Linear matrix inequality (LMI)
  • T-S fuzzy systems
  • semi-Markovian jump systems (S-MJSs)
  • sliding-mode control (SMC)

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