• DocumentCode
    2427690
  • Title

    Worst-case and average H2 performance analysis against real constant parametric uncertainty

  • Author

    Friedman, Jonathan H. ; Kabamba, Pierre T. ; Khargonekar, Pramod P.

  • Author_Institution
    Dept. of Aerosp. Eng., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    2406
  • Abstract
    In this paper we present methods for calculating both the average and worst-case quadratic performance for a family of linear time-invariant systems with real constant parametric uncertainty. The linear systems are described by state-space models with affine linear dependence on the uncertain parameters. A closed form expression for the average performance is given and it is shown that the worst-case calculation is similar to that of the H∞ norm of a certain augmented system.
  • Keywords
    optimal control; state-space methods; H∞ norm; affine linear dependence; average H2 performance analysis; closed form expression; linear time-invariant systems; quadratic performance; real constant parametric uncertainty; state-space models; worst-case H2 performance analysis; Argon; Grid computing; Linear systems; Performance analysis; Robust control; Robust stability; Robustness; Stacking; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.734990
  • Filename
    734990
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2427690