Title :
Optimal LQG performance of linear uncertain systems using state-feedback
Author :
Wu, Fen ; Packard, Andy
Author_Institution :
Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
Abstract :
In this paper the state-feedback control problem for linear uncertain systems is considered. The performance objective is the expectation of a quadratic integral cost function, and the “worst-case” state-feedback controllers is designed to accommodate uncertain parameter. We give computable bounds for such performance. For an LTI system, our bounds are the square of ℋ2 norm of the system actually
Keywords :
control system analysis; linear quadratic Gaussian control; linear systems; state feedback; uncertain systems; H2 norm; computable bounds; linear quadratic Gaussian control; linear uncertain systems; optimal LQG control; quadratic integral cost function; state-feedback; Control systems; Ear; Eigenvalues and eigenfunctions; Mechanical engineering; Performance analysis; Riccati equations; Stability analysis; Symmetric matrices; Uncertain systems; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532775
