• DocumentCode
    3385058
  • Title

    Adaptive Synchronization of Lorenz System and Third-order CNN with Uncertain Parameters

  • Author

    Yi, Xinlei ; Zhang, Longmei ; Sun, Naizhen ; Liu, Anping

  • Author_Institution
    Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    227
  • Lastpage
    231
  • Abstract
    This work presents chaos synchronization between the uncertain chaotic Lorenz system and the certain chaotic third-order Cellular Neural Networks (CNN) via adaptive control. Based on Lyapunov stability theory, an adaptive controller and parameters estimation update laws for unknown parameters are given such that the two different chaotic systems are to be synchronized globally and asymptotically. Theoretical analysis and numerical simulations are shown to verify the results.
  • Keywords
    Lyapunov methods; adaptive control; cellular neural nets; nonlinear systems; parameter estimation; stability; synchronisation; uncertain systems; Lyapunov stability theory; adaptive control; adaptive synchronization; certain chaotic third-order cellular neural networks; parameters estimation update laws; uncertain chaotic Lorenz system; uncertain parameters; Adaptive control; Aerospace electronics; Chaotic communication; Parameter estimation; Synchronization; Adaptive control; Chaos synchronization; Lorenz system; chaotic; chaotic third-order CNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.285
  • Filename
    5654781