• DocumentCode
    2408450
  • Title

    Duality in designing stabilizing control of uncertain linear systems

  • Author

    Gu, Keqin

  • Author_Institution
    Sch. of Eng., Southern Illinois Univ. of Edwardsville, IL, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    2894
  • Abstract
    The design of stabilizing linear output feedback control of uncertain systems is a computationally demanding optimization problem as local minima may exist which are distinct from the global minimum. However, in some special cases, quasi-convexity can be proven through a simple redefinition of variables and/or a reformulation of the problem in the dual form. Such special cases include state feedback control for both discrete and continuous time systems
  • Keywords
    control system synthesis; duality (mathematics); feedback; linear systems; minimisation; stability; computationally demanding optimization problem; continuous time systems; control system design; discrete time systems; dual form; duality; global minimum; local minima; quasi-convexity; stabilizing linear output feedback control; state feedback control; uncertain linear systems; variables redefinition; Continuous time systems; Control systems; Design engineering; Design optimization; Equations; Linear feedback control systems; Linear systems; Output feedback; State feedback; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371282
  • Filename
    371282