Synchronization of Neural Networks with Time-Varying Delays by Decentralized Linear Feedback

Author

Wang, Zhongsheng ; Liang, Yanjun

Author_Institution

Coll. of Autom., Guangdong Polytech. Normal Univ., Guangzhou

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

5

Abstract

The paper aims to present a synchronization scheme for a class of time-varying neural networks, which covers the Hopfield neural networks and cellular neural networks. By using of the Lyapunov stability theorem, a novel delay-independent and decentralized linear-feedback control law is designed to achieve the exponential synchronization. It´s exponential synchronization conditions can be verified. The controllers can be more easily designed than that obtained. Hopfield neural networks with time-varying delays are given to show the effectiveness of the presented synchronization scheme.

Keywords

Hopfield neural nets; Lyapunov methods; cellular neural nets; decentralised control; delays; feedback; linear systems; neurocontrollers; synchronisation; time-varying systems; Hopfield neural networks; Lyapunov stability theorem; cellular neural networks; decentralized linear-feedback control; delay-independent control; exponential synchronization; time-varying delays; time-varying neural networks; Cellular neural networks; Chaotic communication; Delay effects; Delay lines; Educational institutions; Hopfield neural networks; Lyapunov method; Neural networks; Neurofeedback; Neurons;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5073153

Filename

5073153