Title :
Design of LQG controllers with reduced parameter sensitivity
Author :
Lin, J.Y. ; Mingori, D.L.
Author_Institution :
Dept. of Mech., Aerosp. & Nucl. Eng., California Univ., Los Angeles, CA, USA
Abstract :
A method is presented for improving the tolerance of LQG (linear quadratic Gaussian) controllers to parameter errors. The improvement is achieved by introducing terms reflecting the structure of the errors into the linear quadratic regulator cost function and the process and measurement noise models. Adjusting the sizes of these additional terms permits a tradeoff between robustness and nominal performance
Keywords :
control system synthesis; optimal control; LQG controllers; control system synthesis; linear quadratic Gaussian; linear quadratic regulator; measurement noise models; optimal control; parameter errors; process noise; reduced parameter sensitivity; Aerodynamics; Aerospace engineering; Control design; Cost function; Covariance matrix; Frequency dependence; Noise measurement; Noise robustness; Resonance; Uncertainty;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70165
