Globally exponential synchronization in an array of asymmetric coupled neural networks

被引：57

作者：

Lu, Jianquan ^{[1
]}

Ho, Daniel W. C. ^{[1
]}

Liu, Ming ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China

来源：

PHYSICS LETTERS A | 2007年 / 369卷 / 5-6期

关键词：

synchronization; asymmetric coupling; complex network; delay; neural network;

D O I：

10.1016/j.physleta.2007.05.036

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter, we study the globally exponential synchronization in an array of linearly coupled neural networks with delayed coupling. The coupling configuration matrix is assumed to be asymmetric, which is more coincident with the real-world network. The difficulty arising from the asymmetry of the coupling matrix has been overcame in this work. Some synchronization criteria are given in terms of strict linear matrix inequalities (LMIs), which can be efficiently solved by using interior point algorithm. Some previous synchronization results are generalized. Numerical simulation is also given to verify our theoretical analysis. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：444 / 451

页数：8

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