This study provides a set of design curves from which effective digital control for an experiment can be obtained and at the same time efficient use of a digital computer shared with other experiments can be realized. The state variable technique is used as both a design method for obtaining the design curves for adaptive sampling and for predicting the states for control of the process. The adaptive sampling technique is defined to be that choice of constant prediction period that will satisfy control specifications over a specified range of system conditions. The complete range of system operation is divided into a number of classes for which criteria can be devised for determining when the system is in each class. In each class the prediction period is no smaller than that required over the range of the operation of the class. The objective of the adaptive sampling is to use the digital computer for control as little as possible yet maintain the system control specifications.
McCollom, Kenneth Allen and Stewart, R. M. Jr., "Adaptive sampling in digital control" (1964). Ames Laboratory Technical Reports. 88.