• DocumentCode
    2261776
  • Title

    Model matching approach to discrete-time polynomial optimization problems

  • Author

    Pellegrinetti, Gordon ; Bentsman, Joseph

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    3
  • fYear
    1998
  • fDate
    21-26 Jun 1998
  • Firstpage
    1881
  • Abstract
    This paper presents a solution to the H predictive control problem based on minimax prediction using a technique inspired by the solution of the H model matching problem. This solution methodology uses a Youla-Kucera parameter to consider only controllers which are in the set of stabilizing controllers. The final form of true equations which define the controller is simplified, resulting in a better numerical solution readily solvable by a generalized eigenvalue problem
  • Keywords
    H control; discrete time systems; eigenvalues and eigenfunctions; polynomials; predictive control; stability; H predictive control; Youla-Kucera parameter; discrete-time polynomial optimization problems; generalized eigenvalue problem; minimax prediction; model matching approach; stabilizing controllers; Equations; Industrial engineering; Minimax techniques; Optimal control; Polynomials; Predictive control; Predictive models; Stability; Stochastic processes; Stochastic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1998. Proceedings of the 1998
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4530-4
  • Type

    conf

  • DOI
    10.1109/ACC.1998.707347
  • Filename
    707347