• DocumentCode
    3136789
  • Title

    Asymptotic stabilization control of Nadolschi hyperchaotic systems with unknown parameters

  • Author

    Miao, Lihua ; Kuang, Baoping ; Li, Yusheng ; Wang, Xuehong

  • Author_Institution
    Fundamental Teaching Dept. of Math. & Phys., Shenyang Med. Coll., Shenyang, China
  • Volume
    2
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    1009
  • Lastpage
    1012
  • Abstract
    This paper considers the asymptotic stabilization problem of a class of novel hyperchaotic systems with unknown parameters. Based on the adaptive theory, a novel adaptive feedback controller is designed to stabilize the considered Naodolschi hyperchaotic system to the zero equilibrium asymptotically. The asymptotic stability of the closed-loop system is proved based on Lyapunov stability theory. Simulation results demonstrate effectiveness of the proposed hyperchaotic suppression method.
  • Keywords
    Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; feedback; nonlinear control systems; Lyapunov stability theory; Nadolschi hyperchaotic system; adaptive feedback controller; asymptotic stabilization control; closed-loop system; hyperchaotic suppression method; Adaptive control; Asymptotic stability; Chaos; Lyapunov methods; Physics; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0813-8
  • Type

    conf

  • DOI
    10.1109/ICICIP.2011.6008403
  • Filename
    6008403