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

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

研究成果: Article査読

3 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)345-352
ページ数8
ジャーナルIEEJ Transactions on Electrical and Electronic Engineering
6
4
DOI
出版ステータスPublished - 2011 7

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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