Abstract
This paper is concerned with the choice of sampling period for the minimum-time on-line closed-loop computer control of a linear process. The algorithm for this system is based on linear programming.
Generally the minimum time required to reach the desired state decreases as the sampling period T decreases. But choosing a smaller T results increases the minimum sampling number required to reach the desired state and eventually computation time and computer memories increase. On the other hand, computation time and computer memories decrease as the period T increases. But choosing a larger T increases the minimum time required to reach the desired state.
In this paper it is found that the limiting factors in the choice of the period are the computation time, the computer memories and the minimum time required to reach the desired state, and the concrete method of choosing the appropriate sampling period is presented.
