Stationary cost densities for optimally controlled stochastic systems

Exclusive concern with mean utility has often masked the intrinsically probabilistic nature of the performance of an optimally controlled stochastic system. For a class of linear jump parameter systems, a design algorithm is presented for evaluating the stationary probability distribution of the utility function for the optimal closed loop system.