Variance minimization approach for a class of dual control problems

We consider in this paper a class of dual control problems where there exists a parameter uncertainty in the observation equation of the linear-quadratic Gaussian problem. An analytical active dual control law is derived by a variance minimization approach. The issue of how to determine an optimal degree of active learning is then addressed, thus achieving an optimality for this class of dual control problems.