 Separation principle in stochastic control

The separation principle in stochastic control is a fundamental concept that applies to the design of optimal control strategies in systems influenced by randomness. It states that under certain conditions, the control problem can be decoupled into two distinct problems: one involving the estimation of the state of the system and the other involving the determination of the optimal control policy.