Minimum Entropy Control of Stochastic Systems

In this paper, the tranditional MSE criterion is discarded in favor of the entropy as a measure of system performence, and a minimum entropy (ME) approach to stochastic control systems is developed from the viewpoint of information theory. The equivalence, performance bounds, existence, uniqueness and necessary condition of ME control are studied to show the ME method to be reasonable, applicable and effective.