Synchronization and Parameter Identification for a Class of Chaotic Neural Networks with Time-Varying Delays via Adaptive Control

被引：0

作者：

Wang, Zhongsheng ^{[1
]}

Liao, Wudai ^{[2
]}

Yan, Nin ^{[1
]}

机构：

[1] Guangdong Polytech Normal Univ, Coll Automat, Guangzhou 510635, Guangdong, Peoples R China

[2] Zhongyuan Univ Technol, Coll Elect & Informat, Zhengzhou 450007, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2008年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1109/ICNC.2008.31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper aims to present a synchronization and parameter identification scheme for a class of time-varying neural networks. By combining the adaptive control method and the Razumikhin-type Theorem, a novel delay-independent and decentralized linear-feedback control with appropriate updated law is designed to achieve the synchronization and parameter identification The updating law of parameters can be directly constructed. Hopfield neural networks with time-varying delays are given to show the effectiveness of the presented synchronization scheme.

引用

页码：579 / +

页数：2

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