Maximum principle for optimal control of point processes with correlated noisy observations

This paper is concerned with a necessary condition for optimal control of point processes with Gaussian white-noised observations. There are two distinguishing features, compared with the existing literature. One is that the states are partially observable; The other one is that the states and the observations are correlated. We find a necessary condition in the form of maximum principle when control domain is convex.