• DocumentCode
    2960117
  • Title

    Observer-based gain-scheduled H control for LPV systems with time-varying state delay

  • Author

    Wang, Junling ; Yuan, Wei

  • Author_Institution
    Coll. of Nucl. Sci. & Technol., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    5-8 Aug. 2008
  • Firstpage
    534
  • Lastpage
    539
  • Abstract
    This paper addresses the problem of observer-based gain-scheduled Hinfin control for a class of linear parameter-varying systems with time-varying delays in the state. A new delay-dependent and parameter-dependent Hinfin performance criterion is developed with the parameter-dependent Lyapunov approach. Sufficient conditions are presented to design gain-scheduled controllers and state observers to guarantee that the resulting closed-loop system is asymptotically stable with a prescribed Hinfin performance level in terms of parameterized linear matrix inequalities. A numerical example is given to show the effectiveness of the proposed techniques.
  • Keywords
    Hinfin control; Lyapunov methods; closed loop systems; control system synthesis; delays; linear matrix inequalities; linear systems; observers; scheduling; time-varying systems; LPV systems; closed-loop system; delay-dependent performance criterion; gain- scheduled controllers; linear parameter- varying systems; observer-based gain-scheduled Hinfin control; parameter-dependent Hinfin performance criterion; parameterized linear matrix inequalities; state observers; time-varying state delay; Automation; Control systems; Delay systems; Educational institutions; Linear matrix inequalities; Mechatronics; Riccati equations; Space technology; Sufficient conditions; Time varying systems; gain-scheduled control; linear parameter-varying systems; observer-based control; parameterized linear matrix inequality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4244-2631-7
  • Electronic_ISBN
    978-1-4244-2632-4
  • Type

    conf

  • DOI
    10.1109/ICMA.2008.4798813
  • Filename
    4798813