• DocumentCode
    3470156
  • Title

    Robust control design for ellipsoidal plant set

  • Author

    Lau, Ming K. ; Boyd, Stephen ; Kosut, Robert L. ; Franklin, Gene F.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    291
  • Abstract
    Presents a control design method for continuous-time plants whose uncertain parameters in the output matrix are only known to lie in an ellipsoidal set. The desired control is chosen to minimize the maximum linear quadratic regulator (LQR) cost from all the plants with parameters in the given set. Although no particular form is assumed for the minimax control, it turns out that it is the LQR control for one of the plants in the set, the worst-case plant. By defining an appropriate mapping, which maps an element from the given ellipsoidal set to an element of the same set, the existence of this worst-case plant is proved. A simple heuristic algorithm to compute the worst-case plant is also given
  • Keywords
    control system synthesis; matrix algebra; optimal control; set theory; continuous-time plants; control design method; control system synthesis; ellipsoidal plant set; maximum linear quadratic regulator; minimax control; optimal control; uncertain parameters; worst-case plant; Control design; Costs; Finite impulse response filter; Game theory; Heuristic algorithms; Information systems; Minimax techniques; Optimal control; Regulators; Robust control; Robust stability; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261308
  • Filename
    261308