• DocumentCode
    2501301
  • Title

    Synchronization with diverse structure of the Josephson-Circuits-coupled Cellular Neural Network

  • Author

    Wang, Sen ; Kang, Qiang ; Cai, Li

  • Author_Institution
    Sci. Inst., Air Force Eng. Univ., Xian
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8853
  • Lastpage
    8857
  • Abstract
    A nonlinear feedback controller is designed to make the first two state of a chaotic system called Josephson-circuits-coupled quantum cellular neural network track an arbitrary two-dimensional smooth reference signal. It is proved by means of Lyapunov function that this method can make the system approach to any two desired smooth orbits at an exponent rate. The synchronizations with Duffingpsilas chaotic system and Rosslerpsilas chaotic system are also presented. Numerical simulations are made to verify the results.
  • Keywords
    Lyapunov methods; cellular neural nets; chaos; control system synthesis; feedback; nonlinear control systems; superconducting junction devices; Duffing chaotic system; Josephson-circuits-coupled quantum cellular neural network; Lyapunov function; Rossler chaotic system; diverse structure; nonlinear feedback controller design; two-dimensional smooth reference signal; Adaptive control; Cellular networks; Cellular neural networks; Chaos; Design automation; Design engineering; Electronic mail; Force feedback; Intelligent control; Signal design; Josephson junction; quantum cellular neural network; synchronization; tracking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594326
  • Filename
    4594326