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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.
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