Robust delay-dependent H filtering for uncertain Takagi–Sugeno fuzzy neutral stochastic time-delay systems

  • Yajun Li*
  • , Feiqi Deng
  • , Fei Xie
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This paper addresses the robust H filter design problem for a class of uncertain fuzzy neutral stochastic system with time-delay through Takagi–Sugeno (T–S) fuzzy model. By constructing an augmented Lyapunov–Krasovskii functional, some novel delay-dependent stability criteria for uncertain fuzzy neutral stochastic system with time varying delay are obtained in terms of linear matrix inequalities. By using the integral inequality in the neutral stochastic setting combined with delay decomposition approach, the H fuzzy filter is designed to guarantee the corresponding filtering error systems robustly asymptotically stable with a specified H performance index. At last, two numerical examples are presented to show the less conservatism than the previous results.

Original languageEnglish
Pages (from-to)11561-11580
Number of pages20
JournalJournal of the Franklin Institute
Volume356
Issue number18
DOIs
StatePublished - Dec 2019
Externally publishedYes

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