Accession Number : ADA181748
Title : A Parallel Structure for On Line Identification and Adaptive Control.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Kim,Yong H.
Report Date : MAR 1987
Pagination or Media Count : 75
Abstract : We investigated the possibility of employing parallel computing structures for adaptive identification and control. The identification algorithm is based on recursive least-squares with covariance resetting and block processing technique. It is shown how a parallel processing structure can be obtained by recursively applying Givens Rotation to the data matrix. Due to the regularity of its structure the approach presented is particularly attractive for VLSI implementation. Keywords: Parameter estimation.
Descriptors : *ADAPTIVE CONTROL SYSTEMS, *LEAST SQUARES METHOD, *COMPUTER ARCHITECTURE, *RECURSIVE FUNCTIONS, *PARALLEL PROCESSING, ESTIMATES, IDENTIFICATION, MATRIX DISPLAYS, PARALLEL ORIENTATION, DATA BASES, PARAMETERS, ADAPTIVE SYSTEMS, ALGORITHMS, STRUCTURES, THESES
Subject Categories : Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE