• DocumentCode
    596656
  • Title

    Parameter identification and partial synchronization of different chaotic systems

  • Author

    Ying Yang ; Minghui Jiang ; Wenqing Liu

  • Author_Institution
    Dept. of Math., China Three Gorges Univ., Yichang, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    610
  • Lastpage
    614
  • Abstract
    This paper proposes an approach of part synchronization to identify the unknown parameters of the different structures of uncertain chaotic system. Based on Asymptotic stability theory, we design an observer to identify the unknown parameters in the uncertain chaotic system. At the same time, in order to achieve the different structure of uncertain Lorenz chaotic system and Coullet synchronization, we construct the synchronous controller and determine its gain range by using the backstepping approach. The simulation results demonstrate the effectiveness of the observer and controller. In comparison with the existing literature, we optimize the observer and the controller which can achieve the part synchronization of the different structures of uncertain chaotic systems.
  • Keywords
    asymptotic stability; chaos; nonlinear control systems; observers; optimisation; parameter estimation; synchronisation; Coullet synchronization; asymptotic stability theory; backstepping approach; gain range determination; observer design; observer optimization; parameter identification; partial synchronization; synchronous controller; uncertain Lorenz chaotic system; Chaos; Equations; Mathematical model; Observers; Parameter estimation; Synchronization; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463238
  • Filename
    6463238