Recursive Filtering and Stochastic Control under Finite Partition-Based Observations
This work develops a filtering and optimal-control framework for partially observable stochastic systems in which each observation identifies a class of a finite measurable partition of the hidden state space, and proposes class-dependent finite-dimensional approximations capable of preserving both continuous component...