抄録
This paper is concerned with the design of linear and nonlinear sampled-data control systems by the method of dynamic programming.
Usually the dynamics of a control process can be described with a linear vector differential equation in each sampling period and the output response is continuous with respect to time. In this case it is desired that the performance criterion function should be continuous with respect to time.
From this point of view, three kinds of integral criterion functions are considered in this paper.
To simplify the problem the discussions are limited to the control processes subject to only one control signal in this paper, but the design procedure can readily be extended to the multivariate control processes subject to a multitude of control signals.
