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
Link To Document :
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