Optimal and Conditionally-Optimal Filtering of Special Markov Jump Processes

Abstract

The paper introduces observation systems with special Markov Jump processes as the states arid their indirect observations in presence of Wiener noises. Solution of the optimal filtering problem in the classes of linear, polynomial and all nonlinear estimators is presented, and interrelation of obtained estimates is also demonstrated.