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.
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收藏
页数：19
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