Cover Image

A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation

In this paper the combination of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters-Auto regressive with exogenous input (OBFARX) and a nonl...

Full description

Saved in:
Bibliographic Details
Main Authors: Zabiri, H., Ariff, M., Tufa, L.D., Ramasamy, M.
Format: Article
Published: Trans Tech Publications Ltd 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129329&doi=10.4028%2fwww.scientific.net%2fAMM.625.382&partnerID=40&md5=ba98477ccebbba4d5aba420f3b7c91c2
http://eprints.utp.edu.my/31971/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.31971
record_format eprints
spelling my.utp.eprints.319712022-03-29T04:04:37Z A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation Zabiri, H. Ariff, M. Tufa, L.D. Ramasamy, M. In this paper the combination of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters-Auto regressive with exogenous input (OBFARX) and a nonlinear neural network (NN) models is developed. The model performance is then compared against previously developed parallel OBF-NN model in a nonlinear CSTR case study in extended regions of operation (i.e. extrapolation capability). © 2014 Trans Tech Publications, Switzerland. Trans Tech Publications Ltd 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129329&doi=10.4028%2fwww.scientific.net%2fAMM.625.382&partnerID=40&md5=ba98477ccebbba4d5aba420f3b7c91c2 Zabiri, H. and Ariff, M. and Tufa, L.D. and Ramasamy, M. (2014) A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation. Applied Mechanics and Materials, 625 . pp. 382-385. http://eprints.utp.edu.my/31971/
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/
description In this paper the combination of linear and nonlinear models in parallel for nonlinear system identification is investigated. A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters-Auto regressive with exogenous input (OBFARX) and a nonlinear neural network (NN) models is developed. The model performance is then compared against previously developed parallel OBF-NN model in a nonlinear CSTR case study in extended regions of operation (i.e. extrapolation capability). © 2014 Trans Tech Publications, Switzerland.
format Article
author Zabiri, H.
Ariff, M.
Tufa, L.D.
Ramasamy, M.
spellingShingle Zabiri, H.
Ariff, M.
Tufa, L.D.
Ramasamy, M.
A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
author_facet Zabiri, H.
Ariff, M.
Tufa, L.D.
Ramasamy, M.
author_sort Zabiri, H.
title A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
title_short A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
title_full A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
title_fullStr A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
title_full_unstemmed A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
title_sort comparison study between integrated obfarx-nn and obf-nn for modeling of nonlinear systems in extended regions of operation
publisher Trans Tech Publications Ltd
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129329&doi=10.4028%2fwww.scientific.net%2fAMM.625.382&partnerID=40&md5=ba98477ccebbba4d5aba420f3b7c91c2
http://eprints.utp.edu.my/31971/
_version_ 1738657322095345664
score 13.211869

Similar Items