An ergodic theorem for filtering with applications to stability
Probability
2007-05-23 v2 Dynamical Systems
Abstract
Ergodic properties of the signal-filtering pair are studied for continuous time finite Markov chains, observed in white noise. The obtained law of large numbers is applied to the stability problem of the nonlinear filter with respect to initial conditions. The Furstenberg-Khasminskii formula is derived for the top Lyapunov exponent of the Zakai equation and is used to estimate the stability index of the filter.
Cite
@article{arxiv.math/0404515,
title = {An ergodic theorem for filtering with applications to stability},
author = {P. Chigansky},
journal= {arXiv preprint arXiv:math/0404515},
year = {2007}
}
Comments
The final version to appear in Syst. Contr. Letters after a substantial revision