Decentralized control for synchronization of delayed neural networks subject to dead-zone nonlinearity

This article aims to present a decentralized synchronization scheme for a class of delayed neural networks subject to dead-zone nonlinearity in control input. On the basis of the drive–response concept and the Lyapunov stability theory, a decentralized control law is proposed for guaranteeing global...

Full description

Saved in:
Bibliographic Details
Published inNonlinear analysis Vol. 67; no. 6; pp. 1980 - 1987
Main Authors Lin, Jui-Sheng, Hung, Meei-Ling, Yan, Jun-Juh, Liao, Teh-Lu
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 15.09.2007
Elsevier
Subjects
Exact sciences and technology
Mathematical analysis
Mathematics
Sciences and techniques of general use
Nonlinearity
Neural network
Mathematical model
Synchronization
Multidisciplinary
Nonlinear analysis
Online AccessGet full text

Cover

More Information
Summary:This article aims to present a decentralized synchronization scheme for a class of delayed neural networks subject to dead-zone nonlinearity in control input. On the basis of the drive–response concept and the Lyapunov stability theory, a decentralized control law is proposed for guaranteeing global synchronization even when input nonlinearity is present. The proposed controller is suitable for application in delayed cellular neural networks (DCNNs) and delayed Hopfield neural networks (DHNNs) with no restriction on the derivative of the time-varying delays. Finally, computer simulations are provided to demonstrate the effectiveness of the proposed synchronization scheme.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0362-546X
1873-5215
DOI:10.1016/j.na.2006.07.048