DocumentCode
855473
Title
Remarks on stochastic model reduction
Author
Zhou, Kemin
Author_Institution
University of Minnesota, Minneapolis, MN, USA
Volume
32
Issue
4
fYear
1987
fDate
4/1/1987 12:00:00 AM
Firstpage
356
Lastpage
358
Abstract
In this note, we give a solution to the stochastic system model reduction problem in terms of the approximation of the output stochaslic process power spectrum by applying balanced realization or optimal Hankel norm approximation to the asymptotically stable and minimum phase spectral factor. We also give explicit bounds for the approximation error. The effectiveness of this method is compared to the one by Jonckheere and Helton.
Keywords
Linear systems, stochastic; Reduced-order systems, linear; Stochastic systems, linear; Communication system control; Differential equations; Digital signal processing; Filters; Gold; Integral equations; Reduced order systems; Riccati equations; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1987.1104596
Filename
1104596
Link To Document