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Maintaining synchronization by decentralized feedback control in time delay neural networks with parameter uncertainties

journal contribution
posted on 24.10.2008 by Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu, Wen-Hua Chen
A decentralized feedback control scheme is proposed to synchronize linearly coupled identical neural networks with time-varying delay and parameter uncertainties. Sufficient condition for synchronization is developed by carefully investigating the uncertain nonlinear synchronization error dynamics in this article. A procedure for designing a decentralized synchronization controller is proposed using linear matrix inequality (LMI) technique. The designed controller can drive the synchronization error to zero and overcome disruption caused by system uncertainty and external disturbance.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

CHEN, M. ...et al, 2007. Maintaining synchronization by decentralized feedback control in time delay neural networks with parameter uncertainties. International Journal of Neural Systems, 17 (2), pp. 115-122

Publisher

© World Scientific Publishing

Publication date

2007

Notes

This article is Restricted Access. It was published in the journal, International Journal of Neural Systems [© World Scientific Publishing] and is available at: http://www.worldscinet.com/ijns/ijns.shtml

ISSN

0129-0657

Language

en

Exports