relation: https://khub.utp.edu.my/scholars/4777/
title: A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
creator: Zabiri, H.
creator: Ariff, M.
creator: Tufa, L.D.
creator: Ramasamy, M.
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.
publisher: Trans Tech Publications Ltd
date: 2014
type: Article
type: PeerReviewed
identifier:   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.  ISSN 16609336     
relation: 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
relation: 10.4028/www.scientific.net/AMM.625.382
identifier: 10.4028/www.scientific.net/AMM.625.382