• DocumentCode
    2842255
  • Title

    and ℋ2 robust design techniques for static prefilters

  • Author

    Giusto, Alvaro

  • Author_Institution
    Fac. de Ingenieria, Univ. de la Republica, Montevideo, Uruguay
  • Volume
    1
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    237
  • Abstract
    The problem studied in this paper is to obtain the optimal robust performance achievable by a static prefilter in the presence of structured uncertainty. The performance indexes we adopt are the ℋ and ℋ2 norms, and we consider either linear time-invariant (LTI) or linear time varying (LTV) uncertainties. It is shown that the optimal solutions for the LTV cases can be obtained by solving finite dimensional convex problems. The LTI cases can be posed as (infinite dimensional) convex problems, for which several algorithms are available that dispense with the classical 𝒟-𝒦 iteration
  • Keywords
    H control; closed loop systems; control system synthesis; feedback; filtering theory; robust control; transfer functions; uncertain systems; ℋ robust design techniques; ℋ2 robust design techniques; finite dimensional convex problems; infinite dimensional convex problems; linear time varying uncertainties; linear time-invariant uncertainties; optimal robust performance; performance indexes; static prefilters; structured uncertainty; Adaptive control; Attenuation; Control systems; Costs; Feedback; Robust stability; Robustness; Steady-state; Transfer functions; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.574304
  • Filename
    574304