DocumentCode :
700462
Title :
Systems with Markovian jump parameters: Approximations for the nonlinear filtering problem
Author :
Bernard, F. ; Dufour, F. ; Bertrand, P.
Author_Institution :
Lab. des Signaux et Syst., E.S.E., Gif-sur-Yvette, France
fYear :
1997
fDate :
1-7 July 1997
Firstpage :
196
Lastpage :
200
Abstract :
The filtering problem of systems with Markovian jump parameters is considered. Since computing the optimal solution of such problems remains most often untractable. approximate solutions are usually sought. Here we present such an approximation, but defined in a rigourous sense by extending some previous results obtained by Di Masi and Runggaldier [Di 81] on diffusion processes.
Keywords :
approximation theory; filtering theory; nonlinear filters; stochastic systems; Markovian jump parameters; approximation; diffusion process; nonlinear filtering problem; Approximation methods; Convergence; Generators; Hafnium; Markov processes; Maximum likelihood detection; Yttrium; Estimation; Hybrid; Stochastic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6
Type :
conf
Filename :
7082092
Link To Document :
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