Adaptive sampling based on amplitude sensitivity

This paper presents the development of an algorithm for control of the sampling interval in discrete systems. The proposed strategy is based on the use of a sensitivity function which reflects the influence of discrete changes in hold circuit output on system response. The actual algorithm is hybrid, including both continuous computation and logical decisions. The method is illustrated by examples with a linear and a nonlinear sampled-data control system. The adaptive systems, where the sampling interval is variable, are shown to lead to significant reductions in the total number of samples required in an interval, as compared to equivalent systems with a fixed sampling rate.