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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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/ |
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Q Science (General) TP Chemical technology H., Zabiri M., Ramasamy T. D. , Lemma Maulud, Abdulhalim Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ���� |
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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. |
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Citation Index Journal |
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H., Zabiri M., Ramasamy T. D. , Lemma Maulud, Abdulhalim |
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H., Zabiri M., Ramasamy T. D. , Lemma Maulud, Abdulhalim |
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H., Zabiri |
title |
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model
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title_short |
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model
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title_full |
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model
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title_fullStr |
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model
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title_full_unstemmed |
Identification of Nonlinear Systems Using Parallel Laguerre-NN Model
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title_sort |
identification of nonlinear systems using parallel laguerre-nn model
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publishDate |
2013 |
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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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