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Mixed and 2 Anti-synchronization Control for Chaotic Delayed Recurrent Neural Networks

  • Zhilian Yan
  • Yamin Liu
  • Xia HuangEmail author
  • Jianping Zhou
  • Hao Shen
Article
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Abstract

This paper deals with the issue of mixed and 2 anti-synchronization control for chaotic delayed recurrent neural networks with unknown parameters and stochastic noise. By means of the Lyapunov- Krasovskii functional method and some stochastic analysis techniques, an adaptive controller strategy is proposed to guarantee the mixed and 2 anti-synchronization of the drive and response systems. When there is no stochastic noise, it is shown that the present control strategy is less conservative and less complex than a previously reported adaptive control method. Finally, a numerical example is employed to illustrate the applicability of the proposed adaptive control strategy.

Keywords

Anti-synchronization, control 2 control recurrent neural networks time delay 

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Copyright information

© ICROS, KIEE and Springer 2019

Authors and Affiliations

  • Zhilian Yan
    • 1
  • Yamin Liu
    • 2
  • Xia Huang
    • 1
    Email author
  • Jianping Zhou
    • 2
  • Hao Shen
    • 3
  1. 1.College of Electrical Engineering and AutomationShandong University of Science and TechnologyQingdaoP. R. China
  2. 2.School of Computer Science and TechnologyAnhui University of TechnologyMa’anshanP. R. China
  3. 3.School of Electrical and Information EngineeringAnhui University of TechnologyMa’anshanP. R. China

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