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Hybrid Computer Methods for Direct Functional Optimization
October 1975 (vol. 24 no. 10)
pp. 958-965
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.
Index Terms:
Hybrid computer, multiparameter control, random perturbation search.
Citation:
M. Andrews, G.A. Korn, "Hybrid Computer Methods for Direct Functional Optimization," IEEE Transactions on Computers, vol. 24, no. 10, pp. 958-965, Oct. 1975, doi:10.1109/T-C.1975.224101
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