Stochastic Control with Partial Observations on an Infinite Horizon

More Info
expand_more

Abstract

Optimal stochastic control problems are considered for a time-invariant stochastic control system with partial observations on an infinite horizon. Such problems can be solved by a dynamic programming method for partial observations. Both the average cost and the discounted cost functions are considered. Treated as special cases are optimal control problems for a Gaussian stochastic control system and for a finite stochastic control system.