Closed loop identification with model predictive control: a case study

Closed loop identification techniques based on autoregressive models (ARMA), state space models and neural networks for multivariable processes with MPC are investigated. The techniques are tested through computer simulations and ultimately on field data from a gas plant in Saudi Arabia, where MPC a...

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Main Author: Amjad, S. (author)
Other Authors: Al-Duwaish, H.N. (author), unknown (author)
Format: article
Published: 2003
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/14506/1/14506_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14506/2/14506_2.doc
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author Amjad, S.
author2 Al-Duwaish, H.N.
unknown
author2_role author
author
author_facet Amjad, S.
Al-Duwaish, H.N.
unknown
author_role author
dc.creator.none.fl_str_mv Amjad, S.
Al-Duwaish, H.N.
unknown
dc.date.none.fl_str_mv 2003-08
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14506/1/14506_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14506/2/14506_2.doc
(2003) Closed loop identification with model predictive control: a case study. SICE 2003 Annual Conference, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14506/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Closed loop identification with model predictive control: a case study
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Closed loop identification techniques based on autoregressive models (ARMA), state space models and neural networks for multivariable processes with MPC are investigated. The techniques are tested through computer simulations and ultimately on field data from a gas plant in Saudi Arabia, where MPC application is most challenging and perhaps most beneficial.
eu_rights_str_mv openAccess
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id KFUPM_1149a8b178d1ab268c1fc32cad5ea6cc
identifier_str_mv (2003) Closed loop identification with model predictive control: a case study. SICE 2003 Annual Conference, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14506
publishDate 2003
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Closed loop identification with model predictive control: a case studyAmjad, S.Al-Duwaish, H.N.unknownComputerClosed loop identification techniques based on autoregressive models (ARMA), state space models and neural networks for multivariable processes with MPC are investigated. The techniques are tested through computer simulations and ultimately on field data from a gas plant in Saudi Arabia, where MPC application is most challenging and perhaps most beneficial.IEEE2003-082020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14506/1/14506_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14506/2/14506_2.doc (2003) Closed loop identification with model predictive control: a case study. SICE 2003 Annual Conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14506/info:eu-repo/semantics/openAccessoai::145062019-11-01T14:06:07Z
spellingShingle Closed loop identification with model predictive control: a case study
Amjad, S.
Computer
status_str publishedVersion
title Closed loop identification with model predictive control: a case study
title_full Closed loop identification with model predictive control: a case study
title_fullStr Closed loop identification with model predictive control: a case study
title_full_unstemmed Closed loop identification with model predictive control: a case study
title_short Closed loop identification with model predictive control: a case study
title_sort Closed loop identification with model predictive control: a case study
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14506/1/14506_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14506/2/14506_2.doc