DocumentCode
793474
Title
The
Fixed-Interval Smoothing Problem for Continuous Systems
Author
Blanco, Eric ; Neveux, Philippe ; Thomas, Gérard
Author_Institution
Ecole Centrale de Lyon, Ecully
Volume
54
Issue
11
fYear
2006
Firstpage
4085
Lastpage
4090
Abstract
The Hinfin smoothing problem for continuous systems is treated in a state space representation by means of variational calculus techniques. The smoothing problem is introduced in an Hinfin criterion by means of an artificial discontinuity that splits the problem in term of Hinfin forward and Hinfin backward filtering problems. Hence, the smoother design is realized in three steps. First, a forward filter is developed. Secondly, a backward filter is developed taking into account the backward Markovian model. The third step consists of combining the two previous steps in order to compute the Hinfin smoothed estimate. An example shows the efficiency of this proposed smoother
Keywords
Hinfin optimisation; Markov processes; smoothing methods; variational techniques; Hinfin backward filtering; Hinfin fixed-interval smoothing problem; backward Markovian model; forward filter; state space representation; variational calculus techniques; Calculus; Continuous time systems; Filtering; Filters; Noise level; Riccati equations; Smoothing methods; State estimation; State-space methods; Statistics; Markovian model; robust estimation; signal processing; smoothing; variational calculus;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.881237
Filename
1710357
Link To Document