An improved recursive instrumental variable parameter estimator for closed-loop system identification

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Main Author: A. Razap, Ahmad Nor Alifa
Format: Thesis
Published: 2011
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id my-utm-ep.26798
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spelling my-utm-ep.267982017-07-09T07:49:20Z An improved recursive instrumental variable parameter estimator for closed-loop system identification 2011 A. Razap, Ahmad Nor Alifa TK Electrical engineering. Electronics Nuclear engineering 2011 Thesis http://eprints.utm.my/id/eprint/26798/ http://libraryopac.utm.my/client/en_AU/main/search/detailnonmodal/ent:$002f$002fSD_ILS$002f0$002fSD_ILS:769635/one?qu=An+improved+recursive+instrumental+variable+parameter+estimator+for+closed-loop+system+identification masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
A. Razap, Ahmad Nor Alifa
An improved recursive instrumental variable parameter estimator for closed-loop system identification
description
format Thesis
qualification_level Master's degree
author A. Razap, Ahmad Nor Alifa
author_facet A. Razap, Ahmad Nor Alifa
author_sort A. Razap, Ahmad Nor Alifa
title An improved recursive instrumental variable parameter estimator for closed-loop system identification
title_short An improved recursive instrumental variable parameter estimator for closed-loop system identification
title_full An improved recursive instrumental variable parameter estimator for closed-loop system identification
title_fullStr An improved recursive instrumental variable parameter estimator for closed-loop system identification
title_full_unstemmed An improved recursive instrumental variable parameter estimator for closed-loop system identification
title_sort improved recursive instrumental variable parameter estimator for closed-loop system identification
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2011
_version_ 1747815513470271488