A parallel structure for on line identification and adaptive control.
Authors
Kim, Yong Hong
Subjects
parallel structure for parameter estimation
Advisors
Cristi, Roberto
Date of Issue
1987-03
Date
March 1987
Publisher
Language
en_US
Abstract
In this research study we investigate 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.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
74 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner