Issue No.10 - October (1975 vol.24)
M. Andrews , Department of Electrical Engineering, Colorado State University
Control and trajectory optimization involves the minimization of a performance index (PI) of integral form where some optimal control law exists in a dynamic system. In this paper, a hybrid minicomputer with an adaptive random-search algorithm implements an iterative search for the optimal control. The search assumes that some initial control is randomly perturbed and a fast analog computer generates respective PI from the analog response of the dynamic system. An improved PI informs the digital computer to utilize the perturbed control as a basis for the next iteration; otherwise a new perturbation replaces the old perturbation in the next iteration. The search terminates when no further improvements occur.
Hybrid computer, multiparameter control, random perturbation search.
M. Andrews, "Hybrid Computer Methods for Direct Functional Optimization", IEEE Transactions on Computers, vol.24, no. 10, pp. 958-965, October 1975, doi:10.1109/T-C.1975.224101