Exponential synchronization of chaotic neural networks: a matrix measure approach

被引：78
作者：
He, Wangli [1 ]
Cao, Jinde [1 ]
机构：
[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China
来源：
NONLINEAR DYNAMICS | 2009年 / 55卷 / 1-2期
基金：
中国国家自然科学基金;
关键词：
Matrix measure; Neural network; Exponential synchronization; TIME-VARYING DELAYS; ADAPTIVE SYNCHRONIZATION; PARAMETER-IDENTIFICATION; SECURE COMMUNICATION; STABILITY; SYSTEMS; CRITERIA;
D O I：
10.1007/s11071-008-9344-4
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Based on matrix measure and Halanay inequality, exponential synchronization of a class of chaotic neural networks with time-varying delays is investigated. Without constructing Lyapunov function, some simple but generic criteria for exponential synchronization of chaotic neural networks are derived. It is shown that the obtained results are easy to verify and simple to implement in practice. Two examples are given to illustrate the effectiveness of the presented synchronization scheme.
引用
收藏
页码：55 / 65
页数：11
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