A dual controller for linear systems with random jump parameters

This paper addresses the problem of control of partially observed linear discrete time stochastic systems with unknown parameters taking values in a finite set. The solution approach is based on a decomposition of the cost function into a control and trajectory component and a dual or learning component. Similarly the control policy is decomposed into a trajectory and a dual policy. A novel identification feedback scheme which introduces duality into the problem is presented.