Accession Number : AD0681837

Title :   ON OPTIMIZATION OF NONLINEAR DYNAMIC PROCESSES WITH UNKNOWN PARAMETERS.

Descriptive Note : Technical rept.,

Corporate Author : COLUMBIA UNIV NEW YORK DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : Kulikowski,R.

Report Date : 10 JAN 1962

Pagination or Media Count : 30

Abstract : An important theoretical and practical problem which arises in dealing with self-optimizing or adaptive systems is to prove that a particular optimalizing process converges for every state of the plant. In this paper a class of nonlinear, inertial and random plants which satisfy certain optimizability conditions is considered. Two different convergent iteration processes are constructed and compared. The notation of functional analysis is used for reasons of simplicity and conciseness. (Author)

Descriptors :   (*FUNCTIONAL ANALYSIS, CONTROL SYSTEMS), (*CONTROL SYSTEMS, OPTIMIZATION), ADAPTIVE SYSTEMS, NONLINEAR SYSTEMS, STEEPEST DESCENT METHOD, MEASURE THEORY, BANACH SPACE, ITERATIONS, TOPOLOGY, CONVERGENCE

Subject Categories : Theoretical Mathematics

Distribution Statement : APPROVED FOR PUBLIC RELEASE