• DocumentCode
    3611568
  • Title

    Adaptive stabilisation of random systems with arbitrary switchings

  • Author

    Ticao Jiao ; Shengyuan Xu ; Yongmin Li ; Ze Li

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    9
  • Issue
    18
  • fYear
    2015
  • Firstpage
    2634
  • Lastpage
    2640
  • Abstract
    This study is concerned with the global stabilisation problem for a class of random non-linear systems with arbitrary switchings and parameter uncertainties. Under some milder assumptions and by constructing a Lyapunov function, a common adaptive state feedback controller is designed such that the resulting closed-loop system has a globally unique and almost surely bounded solution. Furthermore, the system states are exponentially noise-to-state stable in mean square. Finally, the efficiency of the proposed design approach is demonstrated by a numerical example.
  • Keywords
    Lyapunov methods; adaptive systems; asymptotic stability; closed loop systems; control system synthesis; mean square error methods; nonlinear systems; state feedback; switching systems (control); uncertain systems; Lyapunov function; adaptive stabilisation; adaptive state feedback controller design; arbitrary switching; closed-loop system; exponential noise-to-state stability; mean square; parameter uncertainty; random nonlinear system;
  • fLanguage
    English
  • Journal_Title
    Control Theory Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2015.0065
  • Filename
    7339599