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Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance

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Abstract

This paper treats of the finite-time stochastic synchronization problem of chaotic dynamic neural networks with mixed time-varying delays and stochastic disturbance. State feedback controller and adaptive controller are designed such that the response system can be finite-timely synchronized with corresponding drive system. Some novel and useful finite-time synchronization criteria are derived based on finite-time stability theory. A numerical example presents the effectiveness of our proposed methods.

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Authors and Affiliations

  1. Department of Applied Mathematics, Yanshan University, Qinhuangdao, 066001, China

    Huaiqin Wu, Xiaowei Zhang, Ruoxia Li & Rong Yao

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  1. Huaiqin Wu
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  2. Xiaowei Zhang
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  3. Ruoxia Li
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  4. Rong Yao
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Correspondence to Xiaowei Zhang.

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Wu, H., Zhang, X., Li, R. et al. Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance. Memetic Comp. 7, 231–240 (2015). https://doi.org/10.1007/s12293-014-0150-x

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  • DOI: https://doi.org/10.1007/s12293-014-0150-x

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