Robust exponential stability of uncertain fuzzy stochastic neutral neural networks with mixed time-varying delays

  • Yajun Li
  • , Feiqi Deng
  • , Fei Xie
  • , Like Jiao

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The robust exponential stability problem for a class of uncertain fuzzy stochastic neutral neural networks systems with mixed delays is concerned about. Based on the Lyapunov functional and the stochastic stability theory, the sufficient conditions are developed in terms of linear matrix inequalities (LMIs). Examples and simulations are provided to illustrate the effectiveness and the less conservatism of the proposed method.

Original languageEnglish
Pages (from-to)615-627
Number of pages13
JournalInternational Journal of Innovative Computing, Information and Control
Volume14
Issue number2
StatePublished - 1 Apr 2018
Externally publishedYes

Keywords

  • Linear matrix inequality (LMI)
  • Mixed time-varying delays
  • Robust exponential stability
  • Stochastic neutral neural networks

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