Optimal nominal dual control for discrete-time LQG problem with unknown parameters

The dual control for a class of discrete-time LQG problem with unknown parameters is studied in this paper. The best possible (partial) closed-loop feedback control law is derived by exploring the future nominal posterior probabilities, thus taking into account the effect of future learning when constructing the optimal nominal control problem.