• DocumentCode
    3113860
  • Title

    Sampled-data control based on the observer for linear hybrid systems

  • Author

    Yan-Hui Li ; Xiu-Jie Zhou

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Northeast Pet. Univ., Daqing, China
  • Volume
    02
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    In this paper, a H-infinity sampled-data control problem based on the observer for linear hybrid systems is presented. The hybrid system is mapped to the continuous-time domain and modeled as an augmented continuous one, where the control input and the measurement output have piecewise-continuous delays. A sufficient condition is derived to guarantee the closed-loop system is asymptotically stable and has a H performance level γ via Lyapunov-krasovskii functional method. The singular value decomposition approach is extended to resolve the nonlinear terms of the condition and the control problem is solved in forms of linear matrix inequalities. This approach gives a good solution to the unpredictable state problem in sampled-data control. A numerical example is given to demonstrate the validity of the proposed approach.
  • Keywords
    H control; Lyapunov methods; asymptotic stability; closed loop systems; continuous time systems; delays; linear matrix inequalities; nonlinear control systems; observers; singular value decomposition; H-infinity sampled data control problem; H performance level; Lyapunov-krasovskii functional method; asymptotically stable; closed-loop system; continuous-time domain; linear hybrid systems; linear matrix inequalities; nonlinear terms; observer; piecewise continuous delays; sampled data control; singular value decomposition; Abstracts; Robustness; H-infinity control; Hybrid system; Linear matrix inequality; Observer; Sampled-data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890386
  • Filename
    6890386