Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����

In this paper, a nonlinear system identification framework using parallel linear-plus-neural networks model is developed. The framework is established by combining a linear Laguerre filter model and a nonlinear neural networks (NN) model in a parallel structure. The main advantage of the proposed...

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Main Authors: H., Zabiri, M., Ramasamy, T. D. , Lemma, Maulud, Abdulhalim
Format: Citation Index Journal
Published: 2013
Subjects:
Online Access:http://eprints.utp.edu.my/10746/1/AMR.785-786.1430.pdf
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4N-4JD0H11-1&_user=1196560&_coverDate=08%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1590310395&_rerunOrigin=google&_acct=C000048039&_version
http://eprints.utp.edu.my/10746/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.107462013-12-16T23:48:21Z Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ���� H., Zabiri M., Ramasamy T. D. , Lemma Maulud, Abdulhalim Q Science (General) TP Chemical technology In this paper, a nonlinear system identification framework using parallel linear-plus-neural networks model is developed. The framework is established by combining a linear Laguerre filter model and a nonlinear neural networks (NN) model in a parallel structure. The main advantage of the proposed parallel model is that by having a linear model as the backbone of the overall structure, reasonable models will always be obtained. In addition, such structure provides great potential for further study on extrapolation benefits and control. Similar performance of proposed method with other conventional nonlinear models has been observed and reported, indicating the effectiveness of the proposed model in identifying nonlinear systems. 2013 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/10746/1/AMR.785-786.1430.pdf http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4N-4JD0H11-1&_user=1196560&_coverDate=08%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1590310395&_rerunOrigin=google&_acct=C000048039&_version H., Zabiri and M., Ramasamy and T. D. , Lemma and Maulud, Abdulhalim (2013) Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����. [Citation Index Journal] http://eprints.utp.edu.my/10746/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
TP Chemical technology
spellingShingle Q Science (General)
TP Chemical technology
H., Zabiri
M., Ramasamy
T. D. , Lemma
Maulud, Abdulhalim
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
description In this paper, a nonlinear system identification framework using parallel linear-plus-neural networks model is developed. The framework is established by combining a linear Laguerre filter model and a nonlinear neural networks (NN) model in a parallel structure. The main advantage of the proposed parallel model is that by having a linear model as the backbone of the overall structure, reasonable models will always be obtained. In addition, such structure provides great potential for further study on extrapolation benefits and control. Similar performance of proposed method with other conventional nonlinear models has been observed and reported, indicating the effectiveness of the proposed model in identifying nonlinear systems.
format Citation Index Journal
author H., Zabiri
M., Ramasamy
T. D. , Lemma
Maulud, Abdulhalim
author_facet H., Zabiri
M., Ramasamy
T. D. , Lemma
Maulud, Abdulhalim
author_sort H., Zabiri
title Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
title_short Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
title_full Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
title_fullStr Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
title_full_unstemmed Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����
title_sort identification of nonlinear systems using parallel laguerre-nn model ������ ����
publishDate 2013
url http://eprints.utp.edu.my/10746/1/AMR.785-786.1430.pdf
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V4N-4JD0H11-1&_user=1196560&_coverDate=08%2F31%2F2006&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1590310395&_rerunOrigin=google&_acct=C000048039&_version
http://eprints.utp.edu.my/10746/
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