Improved Stability Analysis for Neural Networks with Time-Varying Delay

被引：4

作者：

Li, Yongming ^{[1
]}

Tian, Junkang ^{[1
]}

Zhao, Jinzhou ^{[1
]}

Zhang, Liehui ^{[1
]}

Li, Tiejun ^{[1
]}

机构：

[1] SW Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2012年 / 2012卷

关键词：

GLOBAL ASYMPTOTIC STABILITY; DEPENDENT EXPONENTIAL STABILITY; ROBUST STABILITY; NEUTRAL-TYPE; CRITERIA;

D O I：

10.1155/2012/950269

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

s This paper concerned the problem of delay-dependent asymptotic stability for neural networks with time-varying delay. A new class of Lyapunov functional dividing the interval delay is constructed to derive some new delay-dependent stability criteria. The obtained criteria are less conservative because free-weighting matrices method, a convex optimization approach, and a mixed dividing delay interval approach are considered. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

引用

页数：19

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