Delay-dependent robust stability analysis for interval neural networks with time-varying delay

Fang Liu, Min Wu, Yong He, Yicheng Zhou, Ryuichi Yokoyama

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This article deals with the problem of robust stability for interval neural networks with time-varying delay. By constructing an appropriate Lyapunov-Krasovskii functional, using the S-procedure and taking the relationship among the time-varying delay, its upper bound and their difference into account, some linear matrix inequality(LMI) -based delay-dependent stability criteria are obtained without ignoring any terms in the derivative of the Lyapunov-Krasovskii functional. Finally, two numerical examples are given to demonstrate the effectiveness and benefits of the proposed method.

Original languageEnglish
Pages (from-to)345-352
Number of pages8
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume6
Issue number4
DOIs
Publication statusPublished - 2011 Jul

Keywords

  • Interval neural networks
  • Lyapunov-Krasovskii functional
  • Robust stability
  • S-procedure
  • Time-varying delay

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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