Optimal feedback control strategies for state-space systems with stochastic parameters

Two different optimal feedback laws are derived for state-space systems parametrized through an independent identically distributed vector sequence. Both feedback laws are obtained by minimizing the expectation of a multistep quadratic loss function at each time step. They differ on the assumptions made about the future inputs. The properties and implementability of the feedback laws are discussed for the infinite horizon case.