DocumentCode
337726
Title
Stochastic control of discrete systems: a separation principle for Wiener and polynomial systems
Author
Grimble, M.J.
Author_Institution
Ind. Control Unit, Strathclyde Univ., Glasgow, UK
Volume
1
fYear
1998
fDate
1998
Firstpage
790
Abstract
A separation principle is established for systems represented in discrete frequency-domain Wiener or polynomial forms. The LQG or H2 optimal controller can be realized using an observer based structure estimating noise free output variables that are fedback through a dynamic gain control block. The frequency-domain solution can be related to standard state-space Kalman filtering results, but it has a rather different structure. There are also two separation principle theorems depending upon the order in which the ideal output optimal control and the optimal observer problems are solved
Keywords
discrete systems; filtering theory; linear quadratic Gaussian control; observers; state-space methods; stochastic systems; H2 optimal controller; discrete frequency-domain Wiener systems; dynamic gain control block; frequency-domain solution; noise free output variables; observer based structure; polynomial systems; separation principle; standard state-space Kalman filtering; stochastic control; Colored noise; Control systems; Covariance matrix; Equations; Frequency domain analysis; Noise measurement; Optimal control; Output feedback; Polynomials; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0191-2216
Print_ISBN
0-7803-4394-8
Type
conf
DOI
10.1109/CDC.1998.760784
Filename
760784
Link To Document