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LQG optimal control system design under plant perturbation and noise uncertainty: A state-space approach

โœ Scribed by Bor-Sen Chen; Tay-Yuh Dong


Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
533 KB
Volume
25
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


In this paper, the stochastic linear dynamic system with uncertain parametric perturbations and uncertain noise covariances is studied. Based on minimax theory and the Bellman-Gronwall inequality, a sufficient condition for robust stability is derived. Finally, a robust LQG optimal control design technique is employed to treat this problem. *


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Stability robustness of the continuous-t
โœ J.S. Luo; A. Johnson ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 354 KB

In this paper the robustness of the continuoustime LQG problem is studied. The system to be controlled is described by the usual state space formulation that includes the structure of plant parameter perturbations and noise uncertainty. A simple method is given to prove the saddle point inequality o