Stability analysis for impulsive coupled systems on networks

被引:39
|
作者
Suo, Jinghui [1 ]
Sun, Jitao [1 ]
Zhang, Yu [1 ]
机构
[1] Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
Impulsive coupled systems; Networks; Asymptotic stability; Exponential stability; Lyapunov function; EXPONENTIAL STABILITY; ROBUST SYNCHRONIZATION; NEURAL-NETWORKS; TIME; DELAY;
D O I
10.1016/j.neucom.2012.06.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the stability problem of equilibrium for impulsive coupled systems on networks (ICSNs). We provide a systematic method that allows one to construct global Lyapunov functions for large-scale impulsive coupled systems from building blocks of individual vertex systems by using results from graph theory. Consequently, a new asymptotic stability principle and a new exponentially stable principle, which have a close relation to the topology property of the network, are given. As an application to the results, we employ the principle to a class of impulsive coupled systems, and then an easy-verified sufficient condition which guarantees the asymptotic stability and exponential stability are obtained. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 177
页数:6
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