System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches

System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches

This paper present a comparison study toward process modeling and identification using linear ARX and Nonlinear ARX (NARX) approaches in an attempt to capture the dynamics of a continuous distillation column derived from simulated data of ethane and ethylene separation process obtained in DaIsy data...

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Bibliographic Details
Published in:Proceedings - 2013 IEEE 4th Control and System Graduate Research Colloquium, ICSGRC 2013
Main Author: Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
Format: Conference paper
Language:English
Published: 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891091836&doi=10.1109%2fICSGRC.2013.6653274&partnerID=40&md5=9d972113b0aeb802f02641d03091c6ea
id 2-s2.0-84891091836
spelling 2-s2.0-84891091836
Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
2013
Proceedings - 2013 IEEE 4th Control and System Graduate Research Colloquium, ICSGRC 2013


10.1109/ICSGRC.2013.6653274
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891091836&doi=10.1109%2fICSGRC.2013.6653274&partnerID=40&md5=9d972113b0aeb802f02641d03091c6ea
This paper present a comparison study toward process modeling and identification using linear ARX and Nonlinear ARX (NARX) approaches in an attempt to capture the dynamics of a continuous distillation column derived from simulated data of ethane and ethylene separation process obtained in DaIsy database. Each of the resultant modeling were compared and tested to understand which method perform better for the given sets of data using established model verification method. Result shows NARX modeling approach was found to be superior to the linear ARX approach in defining the studied process. © 2013 IEEE.


English
Conference paper
author Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
spellingShingle Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
author_facet Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
author_sort Rustam I.; Ismail I.; Ishak A.A.; Yassin I.M.
title System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
title_short System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
title_full System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
title_fullStr System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
title_full_unstemmed System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
title_sort System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches
publishDate 2013
container_title Proceedings - 2013 IEEE 4th Control and System Graduate Research Colloquium, ICSGRC 2013
container_volume
container_issue
doi_str_mv 10.1109/ICSGRC.2013.6653274
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891091836&doi=10.1109%2fICSGRC.2013.6653274&partnerID=40&md5=9d972113b0aeb802f02641d03091c6ea
description This paper present a comparison study toward process modeling and identification using linear ARX and Nonlinear ARX (NARX) approaches in an attempt to capture the dynamics of a continuous distillation column derived from simulated data of ethane and ethylene separation process obtained in DaIsy database. Each of the resultant modeling were compared and tested to understand which method perform better for the given sets of data using established model verification method. Result shows NARX modeling approach was found to be superior to the linear ARX approach in defining the studied process. © 2013 IEEE.
publisher
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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