Global synchronization in arrays of delayed neural networks with constant and delayed coupling

被引：263

作者：

Cao, JD ^{[1
]}

Li, P ^{[1
]}

Wang, WW ^{[1
]}

机构：

[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

来源：

PHYSICS LETTERS A | 2006年 / 353卷 / 04期

基金：

中国国家自然科学基金;

关键词：

coupled identical neural networks; delayed coupling; global exponential synchronization; Lyapunov functional;

D O I：

10.1016/j.physleta.2005.12.092

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter investigates the global exponential synchronization in arrays of coupled identical delayed neural networks (DNNs) with constant and delayed coupling. By referring to Lyapunov functional method and Kronecker product technique, some sufficient conditions are derived for global synchronization of such systems. These new synchronization criteria offer some adjustable matrix parameters, which is of important significance in the design and applications of such coupled DNNs, and the results improve and extend the earlier works. Finally, an example is given to illustrate the theoretical results. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：318 / 325

页数：8

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