• DocumentCode
    1664160
  • Title

    Adaptive finite-time stabilization of a class of stochastic nonlinear systems

  • Author

    Suiyang Khoo ; Juliang Yin ; Zhihong Man

  • Author_Institution
    Sch. of Eng., Deakin Univ., Geelong, VIC, Australia
  • fYear
    2012
  • Firstpage
    1250
  • Lastpage
    1255
  • Abstract
    This paper studies the problem of almost surely adaptive finite-time stabilization for stochastic nonlinear systems. We prove that almost surely finite-time stabilization of stochastic nonlinear systems in triangular form can be reached by the continuous control law. The proof is based on the recently proposed almost surely finite-time stability theorem in [13]. A recursive design algorithm is developed for the construction of the adaptive controller. The adding an integrator technique is employed to construct the global almost surely finite-time stabilizer. Simulation example is given to illustrate the theoretical analysis.
  • Keywords
    adaptive control; control system synthesis; integration; nonlinear control systems; stability; stochastic systems; adaptive controller; almost surely adaptive finite-time stabilization problem; almost surely finite-time stability theorem; continuous control law; integrator technique; recursive design algorithm; stochastic nonlinear system; triangular form; Adaptive systems; Asymptotic stability; Educational institutions; Lyapunov methods; Nonlinear systems; Stability analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485324
  • Filename
    6485324