• DocumentCode
    504408
  • Title

    Robustness analysis of uncertain discrete-time linear systems based on system lifting and LMIs

  • Author

    Ebihara, Yoshio ; Peaucelle, D. ; Arzelier, D.

  • Author_Institution
    Dept. of Electr. Eng., Kyoto Univ., Kyoto, Japan
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    3908
  • Lastpage
    3913
  • Abstract
    In this paper, we propose novel LMI conditions for the stability and l2 gain performance analysis of discrete-time linear periodically time-varying (LPTV) systems. These LMIs are convex with respect to all of the coefficient matrices of the LPTV systems and this property is expected to be promising when dealing with several control system analysis and synthesis problems. For example, we can apply those LMIs straightforwadly to robust performance analysis problems of LPTV systems that are affected by polytopic-type uncertainties. Even though our approach for robust performance analysis is conservative in general, we can reduce the conservatism gradually by artificially regarding the original N-eriodic system as pN-periodic and increasing p. In addition, thanks to the simple structure of the LMI conditions, we can readily derive a viable test to verify the exactness of the computation results.
  • Keywords
    control system synthesis; discrete time systems; linear matrix inequalities; linear systems; time-varying systems; uncertain systems; LMI; W-periodic system; pW-periodic; periodically time-varying systems; polytopic-type uncertainties; robustness analysis; system lifting; uncertain discrete-time linear systems; Control system analysis; Control system synthesis; Linear systems; Performance analysis; Performance gain; Robustness; Stability analysis; Testing; Time varying systems; Uncertainty; LMI; discrete-time LPTV systems; real parametric uncertainty; robustness analysis; system lifting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5333300