• DocumentCode
    476178
  • Title

    Robust stabilization for a class of uncertain discrete-time switched linear systems

  • Author

    Chen, Song-lin ; Yao, Yu ; Ma, Jie

  • Author_Institution
    Control & Simulation Center, Harbin Inst. of Technol., Harbin
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2352
  • Lastpage
    2356
  • Abstract
    The problem of robust stabilization for a class of discrete-time switched linear systems with norm-bounded time-varying uncertainties is investigated. The purpose is to construct a switching rule and design a state feedback control law, such that, the closed-loop system is asymptotically stable for all admissible uncertainties under the constructed switching rule. Based on the multiple Lyapunov functions approach and matrix inequality technique, a new condition for the existence of state feedback control law and switching rule is derived. The condition can be dealt with as linear matrix inequalities (LMIs) if some scalars parameters are selected in advance. An example illustrates the effectiveness of the proposed results.
  • Keywords
    Lyapunov methods; asymptotic stability; closed loop systems; control system synthesis; discrete time systems; linear matrix inequalities; robust control; state feedback; time-varying systems; uncertain systems; asymptotically stable system; closed-loop system; linear matrix inequalities; multiple Lyapunov functions approach; norm-bounded time-varying uncertainties; robust stabilization; state feedback control law design; switched linear systems; switching rule; uncertain discrete-time systems; Control systems; Linear matrix inequalities; Linear systems; Lyapunov method; Robust control; Robustness; Signal design; State feedback; Switched systems; Uncertainty; Hybrid System; Robust stabilization; Switched linear system; Switching rule; Uncertainties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620798
  • Filename
    4620798