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Adaptive Integral Observer‐Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances

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  • Xiuchun Li
  • Jianhua Gu
  • Wei Xu

Abstract

Considering the effects of external perturbations on the state vector and the output of the original system, this paper proposes a new adaptive integral observer method to deal with chaos synchronization between the drive and response systems with unknown parameters. The analysis and proof are given by means of the Lyapunov stability theorem and Barbalat lemma. This approach has fewer constraints because many parameters related to chaotic system can be unknown, as shown in the paper. Numerical simulations are performed in the end and the results show that the proposed method is not only suitable to the representative chaotic systems but also applied to some neural network chaotic systems.

Suggested Citation

  • Xiuchun Li & Jianhua Gu & Wei Xu, 2013. "Adaptive Integral Observer‐Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
  • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:501421
    DOI: 10.1155/2013/501421
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    References listed on IDEAS

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    1. Yang, Xinsong & Huang, Chuangxia & Zhu, Quanxin, 2011. "Synchronization of switched neural networks with mixed delays via impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 44(10), pages 817-826.
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    Cited by:

    1. Yuzhu Xiao & Sufang Tang & Zhongkui Sun, 2014. "The Positive Role of Multiplicative Noise in Complete Synchronization of Unidirectionally Coupled Ring with Three Nodes," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).

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