• DocumentCode
    1662035
  • Title

    Computing LQG plant and controller perturbations

  • Author

    Anderson, Brian D O ; Bruyne, Franky De ; GEVERS, Michel

  • Author_Institution
    Dept. of Syst. Eng., Res. Sch. of Phys. Sci. & Eng., Canberra, ACT, Australia
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1439
  • Abstract
    Using the dual Youla parametrizations of controller based coprime factor plant perturbations and plant based coprime factor controller perturbations, the authors provide a computational procedure for computing an optimal infinite horizon linear quadratic Gaussian (LQG) controller from any stabilizing controller. The method allows the authors to calculate a new optimal LQG controller from a previous one when the plant has slightly changed, and to quantify the change in the controller as a function of the change in the plant. In addition, the authors compute the degradation in the achieved LQG cost when the LQG controller is computed on the basis of a plant model that is “close to” the real plant, where the closeness is measured by some norm of the perturbation
  • Keywords
    control system synthesis; linear quadratic Gaussian control; stability; transfer functions; controller based coprime factor plant perturbations; dual Youla parametrizations; optimal infinite horizon linear quadratic Gaussian controller; plant based coprime factor controller perturbations; stabilizing controller; Control systems; Cost function; Degradation; Equations; Infinite horizon; Optimal control; Physics computing; Robustness; Systems engineering and theory; Transfer functions;
  • 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.1994.411244
  • Filename
    411244