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

Jui Sheng Lin, Meei Ling Hung, Jun Juh Yan, Teh Lu Liao

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)1980-1987
頁數8
期刊Nonlinear Analysis, Theory, Methods and Applications
67
發行號6
DOIs
出版狀態Published - 2007 九月 15

All Science Journal Classification (ASJC) codes

  • Analysis
  • Applied Mathematics

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