DocumentCode
2852120
Title
Risk sensitive and robust nonlinear filtering
Author
Fleming, Wendell H. ; McEneaney, William M.
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
Volume
2
fYear
1997
fDate
10-12 Dec 1997
Firstpage
1088
Abstract
A risk sensitive approach to nonlinear filtering is considered. In this case, the traditional expected mean squared error is replaced by an expected exponential-of-mean squared error. A pathwise filtering equation is used to take the risk averse limit. This leads to a robust filtering estimator. The robust estimator yields a bound on the estimate error in terms of (finite) disturbance energy
Keywords
filtering theory; least mean squares methods; nonlinear filters; state estimation; expected exponential-of-mean squared error; finite disturbance energy; pathwise filtering equation; risk averse limit; risk sensitive nonlinear filtering; robust filtering estimator; robust nonlinear filtering; Error correction; Filtering; Filters; Noise robustness; Nonlinear equations; Robust control; State estimation; Stochastic resonance; White noise; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657591
Filename
657591
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