DocumentCode :
822133
Title :
Linear filtering of singularly perturbed systems
Author :
Haddad, A.H.
Author_Institution :
University of Illinois, Urbana, IL, USA
Volume :
21
Issue :
4
fYear :
1976
fDate :
8/1/1976 12:00:00 AM
Firstpage :
515
Lastpage :
519
Abstract :
This short paper considers the properties of singularly perturbed systems with white noise input. The theory of singular perturbations is then applied to the filtering problem for such systems. The resulting filter may be approximately decomposed into two filters in different time scales yielding the estimates of the slow-mode and the fast-mode states.
Keywords :
Linear systems, stochastic continuous-time; Perturbation methods; State estimation; Filtering; Maximum likelihood detection; Minimax techniques; Nonlinear filters; Optimal control; Pareto optimization; Regulators; State-space methods; Sufficient conditions; White noise;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1976.1101306
Filename :
1101306
Link To Document :
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