Application of Bayesian controllers to dynamic systems

Bayesian networks for the static as well as for the dynamic case have gained an enormous interest in the research community of machine learning and pattern recognition. Although the parallels between dynamic Bayesian networks and Kalman tikers are well-known since many years, Bayesian networks have not been applied to problems in the area of adaptive control of dynamic systems