
Accession Number : AD0654537
Title : A DESCENT ALGORITHM FOR CONSTRAINED STOCHASTIC EXTREMA.
Descriptive Note : Technical rept.,
Corporate Author : HARVARD UNIV CAMBRIDGE MASS DIV OF ENGINEERING AND APPLIED PHYSICS
Personal Author(s) : Ho,Y. C. ; Newbold,P. M.
Report Date : MAY 1967
Pagination or Media Count : 27
Abstract : In situations where it is not feasible to find an optimal feedback control law for a stochastic system, an openloop law can often be derived by optimization. The report presents a method of finding the extremum of certain stochastic functionals analogous to the steepest descent method. Necessary conditions for the convergence of the algorithm are given. Two examples illustrate the use of the algorithm. (Author)
Descriptors : (*CONTROL, OPTIMIZATION), (*STOCHASTIC PROCESSES, ALGORITHMS), DYNAMICS, RANDOM VARIABLES, SEQUENCES(MATHEMATICS), MATHEMATICAL ANALYSIS, PARTIAL DIFFERENTIAL EQUATIONS, CALCULUS OF VARIATIONS
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE