• DocumentCode
    3370834
  • Title

    T-S fuzzy modeling and asymptotic synchronization of two nonidentical discrete-time hyperchaotic maps

  • Author

    Zhao, Yan ; Wang, Cunxu ; Han, Xichang ; Zhiliang Wang

  • Author_Institution
    Dept. of Autom. Control Eng., Shenyang Inst. of Eng., Shenyang, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    1244
  • Lastpage
    1248
  • Abstract
    Chaotic synchronization is the key technique in secure communication systems. This paper proposes a novel control method to synchronize two nonidentical discrete-time hyperchaotic maps based on T-S fuzzy models. Firstly, a universal fuzzy modeling process is presented for most discrete-time hyperchaotic maps. Then, a simple fuzzy controller is designed based on the PDC technique. The asymptotic stability criteria of the fuzzy synchronization error system is derived by applying linear system theory. Finally, simulation results are given to demonstrate the effectiveness of the proposed fuzzy synchronization scheme for two nonidentical discrete-time hyperchaotic maps. Because a linear closed-loop synchronous error system can be obtained by the proposed fuzzy synchronous controller design method in this paper, many satisfactory performance indices can be achieved, such as rapid response and short transient time, etc.
  • Keywords
    asymptotic stability; chaos; closed loop systems; control system synthesis; discrete time systems; fuzzy control; nonlinear control systems; performance index; stability criteria; T-S fuzzy modeling; asymptotic stability criteria; asymptotic synchronization; chaotic synchronization; fuzzy synchronization error system; fuzzy synchronous controller design; linear closed-loop synchronous error system; linear system theory; nonidentical discrete-time hyperchaotic maps; performance indices; secure communication systems; simple fuzzy controller design; universal fuzzy modeling process; Asymptotic stability; Chaotic communication; Communication system control; Communication systems; Control systems; Design methodology; Error correction; Fuzzy control; Fuzzy systems; Linear systems; T-S fuzzy model; chaotic synchronization; discrete-time hyperchaotic map; parallel distributed compensation (PDC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246591
  • Filename
    5246591