DocumentCode
1227490
Title
On minmax filtering over discrete-continuous observations
Author
Orlov, Yury V. ; Basin, Michael V.
Author_Institution
Dept. of Electron. & Telecommun., CICESE, San Diego, CA, USA
Volume
40
Issue
9
fYear
1995
fDate
9/1/1995 12:00:00 AM
Firstpage
1623
Lastpage
1626
Abstract
This paper presents the minmax filtering problem for a state of a dynamic system under uncertainty conditions over discrete-continuous observations. The solution of the problem is based on the previously derived minmax filtering equations over continuous observations. Some mathematical tools concerning the problem are considered
Keywords
convergence of numerical methods; differential equations; filtering theory; linear systems; minimax techniques; observability; bounded variation functions; differential equations; discrete-continuous observations; linear dynamic system; minmax filtering; weak convergence; Calibration; Differential equations; Filtering; Filters; Minimax techniques; Motion estimation; Signal processing; State estimation; Stochastic processes; Uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.412633
Filename
412633
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