DYNAMIC SAMPLING APPLIED TO PROBLEMS IN OPTIMAL-CONTROL

Dynamic sampling utilizes the option of varying the sampling rates acc ording to the situation of the systems, thus obtaining procedures with improved efficiencies. In this paper, the technique is applied to a t ypical problem in optimal control theory, that of tracking and control ling the position of an object. It is shown that the dynamic sampling results in a significantly improved procedure for this case, even when applying a suboptimal policy which can be analyzed in closed form.