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Maintaining synchronization by decentralized feedback control in time delay neural networks with parameter uncertainties
journal contributionposted on 2008-10-24, 10:04 authored by Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu, Wen-Hua ChenWen-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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
CitationCHEN, 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
NotesThis 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