Robust adaptive neural network synchronization controller design for a class of time delay uncertain chaotic systems

Mou Chen and Wen-hua Chen

Chaos, Solitons & Fractals, 2009, vol. 41, issue 5, 2716-2724

Abstract: In this paper, a robust adaptive neural network synchronization controller is proposed for two chaotic systems with input time delay and uncertainty. The studied chaotic system may possess a wide class of nonlinear time-delayed input uncertainty. The radial basis function (RBF) neural network is used to approximate the unknown continuous bounded function item of the time delay uncertainty via appropriate weight value updated law. With the output of RBF neural network, a robust adaptive synchronization control scheme is presented for the time delay uncertain chaotic system. Finally, a simulation example is used to illustrate the effectiveness of the proposed synchronization control scheme.

Date: 2009
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:41:y:2009:i:5:p:2716-2724

DOI: 10.1016/j.chaos.2008.10.003

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