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
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;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6