Synchronization of neural networks by decentralized feedback control

被引：53

作者：

Cheng, CJ

Liao, TL ^{[1
]}

Yan, JJ

Hwang, CC

机构：

[1] Natl Cheng Kung Univ, Dept Engn Sci, Tainan 701, Taiwan

[2] Far E Coll, Dept Elect Engn, Tainan 744, Taiwan

来源：

PHYSICS LETTERS A | 2005年 / 338卷 / 01期

关键词：

exponential synchronization; decentralized feedback control; Hopfield neural networks; cellular neural networks;

D O I：

10.1016/j.physleta.2005.01.082

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter deals with the synchronization problem of a class of neural networks with/without time delays. Based on the drive-response concept and the Lyapunov stability theorem, a delay-independent and decentralized control law is derived to achieve the exponential synchronization. Two illustrative examples are given to demonstrate the effectiveness of the presented synchronization scheme. (c) 2005 Elsevier B.V. All rights reserved.

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页码：28 / 35

页数：8

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