DocumentCode
3058460
Title
The nonlinear MMSE filter for partially observed systems driven by non-Gaussian white noise, with applications to failure estimation
Author
Makowski, A. ; Levine, W.S. ; Asher, M.
Author_Institution
University of Maryland, College Park, Maryland
fYear
1984
fDate
12-14 Dec. 1984
Firstpage
644
Lastpage
650
Abstract
The problem of estimating the state of a system subjected to jump inputs has been used as a model for several practical problems. This paper presents a rigorous derivation of the previously unknown minimum mean square error estimator for the state of such systems. The derivation is general enough to encompass a wide variety of non-Gaussian (as well as Gaussian) statistics for the input stochatic process.
Keywords
Control systems; Filters; Random sequences; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1984. The 23rd IEEE Conference on
Conference_Location
Las Vegas, Nevada, USA
Type
conf
DOI
10.1109/CDC.1984.272086
Filename
4047962
Link To Document