Stability analysis of cellular neural networks with time-varying delay

被引：0

作者：

Wang Xingang ^{[1
,3
]}

Zhang Dongmei ^{[2
]}

Liu Jun ^{[4
]}

机构：

[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310032, Zhejiang, Peoples R China

[2] Zhejiang Univ Technol, Coll Sci, Hangzhou 310032, Zhejiang, Peoples R China

[3] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200072, Peoples R China

[4] Beihua Univ, Coll Sci, Jilin 132000, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2009年 / 20卷 / 02期

基金：

中国国家自然科学基金;

关键词：

cellular neural networks; time-varying delay; integral inequality; GLOBAL EXPONENTIAL STABILITY; ROBUST STABILITY; SYSTEMS; STABILIZATION; CRITERIA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The global asymptotic stability of cellular neural networks with delays is investigated. Three kinds of time delays have been considered. New delay-dependent stability criteria are proposed and are formulated as the feasibility of some linear matrix inequalities, which can be checked easily by resorting to the recently developed interior-point algorithms. Based on the Finsler Lemma, it is theoretically proved that the proposed stability criteria are less conservative than some existing results.

引用

页码：266 / 273

页数：8

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