• DocumentCode
    232120
  • Title

    The design of L2-L filter for nonlinear fuzzy stochastic system with time-varying delay

  • Author

    Cai Yixi ; Hua Mingang ; Tan Huasheng

  • Author_Institution
    Coll. of Internet of Things Eng., Hohai Univ., Changzhou, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    5311
  • Lastpage
    5316
  • Abstract
    This paper is concerned with the problem of fuzzy filtering of nonlinear fuzzy stochastic systems with time-varying delay. Attention is focused on the design of both the fuzzy-rule-dependent and the fuzzy-rule-independent filters which ensure the error system is asymptotically mean-square stable and a L2-L performance is satisfied. Then, to reduce the conservatism, a delay-dependent approach for the existence of L2-L filters is developed in terms of linear matrix inequalities(LMIs).
  • Keywords
    asymptotic stability; delays; filtering theory; fuzzy systems; linear matrix inequalities; mean square error methods; nonlinear systems; stochastic systems; L2-L filter design; LMI; asymptotic mean-square stability; conservatism reduction; delay-dependent approach; error system; fuzzy filtering problem; fuzzy-rule-dependent filter design; fuzzy-rule-independent filter design; linear matrix inequalities; nonlinear fuzzy stochastic system; time-varying delay; Bismuth; Delay effects; Delays; Fuzzy systems; Stochastic systems; Symmetric matrices; Time-varying systems; Fuzzy Stochastic System; L2-L Filtering; Linear Matrix Inequality; T-S fuzzy systems; Time Delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895845
  • Filename
    6895845