Title :
A uniformity principle for probabilistic robustness of the discrete-time linear quadratic regulator
Author :
Muhler, M.L. ; Barmish, B.R.
Author_Institution :
DLR, Oberpfaffenhofen, Germany
Abstract :
This paper concentrates on the use of a recently developed new paradigm for probabilistic robustness in the context of the classical linear quadratic regulator. Distributional robustness of the performance is sought with respect to an entire class ℱτ of admissible probability density functions for the disturbance. Disturbances are deemed to be “good” or “tolerable” if the performance index remains below an acceptable level γ>0. The main result of this paper indicates that the so-called uniformity principle holds at the optimum, that is, when the optimal control uk=-Kkxk is implemented, the uniform distribution for the disturbances turns out to be risk maximizing
Keywords :
discrete time systems; linear quadratic control; linear systems; performance index; probability; stability; suboptimal control; discrete-time systems; linear quadratic control; linear time invariant systems; optimal control; performance index; probability density; robustness; suboptimal control; Cost function; Ear; Information analysis; Optimal control; Performance analysis; Probability density function; Regulators; Riccati equations; Robustness; State feedback;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786580