Optimal control of a class of nonlinear stochastic systems

Bellman's principle of optimality and dynamic programming are shown to be the basis for solution of a physically significant class of nonlinear stochastic control problems. Various previous results are integrated into a survey here, and a new result which extends the separation principle is presented. Certain bilinear and linear-in-control systems are included in the analysis.