• DocumentCode
    1662568
  • Title

    Robust control of constrained systems via convex optimization

  • Author

    Sznaier, Mario ; Blanchini, Franco

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1012
  • Abstract
    A successful controller design paradigm must take into account both model uncertainty and design specifications. In this paper we propose a design procedure, based upon the use of convex optimisation, that takes explicitly into account both time and frequency domain specifications. The main result of the paper shows that these controllers can be obtained by solving a sequence of problems, each one consisting of a finite-dimensional convex optimization and a standard, unconstrained ℋ problem. Additionally, the paper serves as a brief tutorial on the issues involved in addressing design problems with multiple design specifications via convex optimization
  • Keywords
    H control; control system synthesis; convex programming; nonlinear programming; robust control; constrained systems; controller design paradigm; convex optimization; finite-dimensional convex optimization; frequency-domain specifications; model uncertainty; multiple design specifications; robust control; standard unconstrained H problem; time-domain specifications; Constraint optimization; Control systems; Design optimization; Engines; Frequency domain analysis; Lakes; MIMO; Riccati equations; Robust control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411276
  • Filename
    411276