eprintid: 4777
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/47/77
datestamp: 2023-11-09 16:16:29
lastmod: 2023-11-09 16:16:29
status_changed: 2023-11-09 15:59:26
type: article
metadata_visibility: show
creators_name: Zabiri, H.
creators_name: Ariff, M.
creators_name: Tufa, L.D.
creators_name: Ramasamy, M.
title: A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
ispublished: pub
keywords: Algorithms; Models, Comparison study; Identification algorithms; Linear and nonlinear models; Model performance; NN; Nonlinear neural networks; OBFARX; Parallel integration, Nonlinear systems
note: cited By 0; Conference of 3rd International Conference on Process Engineering and Advanced Materials, ICPEAM 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:114811
abstract: 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.
date: 2014
publisher: Trans Tech Publications Ltd
official_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
id_number: 10.4028/www.scientific.net/AMM.625.382
full_text_status: none
publication: Applied Mechanics and Materials
volume: 625
pagerange: 382-385
refereed: TRUE
isbn: 9783038351818
issn: 16609336
citation:   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