Optimal nonlinear filtering of MC-flow processes

The problem of filtering of the fluctuating Poisson flow of processes whose intensity is a function of a certain control process is under study. The latter is a random diffusion Markov process with the known wear and diffusion coefficients. The equation is derived which defines the law of aposterior probability density. The flow intensity value minimizes mean square error