Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms

Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The prop...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Al-Duwaish, H. (author)
مؤلفون آخرون: Naeem, W. (author), unknown (author)
التنسيق: article
منشور في: 2001
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14620/1/14620_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14620/2/14620_2.doc
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author Al-Duwaish, H.
author2 Naeem, W.
unknown
author2_role author
author
author_facet Al-Duwaish, H.
Naeem, W.
unknown
author_role author
dc.creator.none.fl_str_mv Al-Duwaish, H.
Naeem, W.
unknown
dc.date.none.fl_str_mv 2001
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14620/1/14620_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14620/2/14620_2.doc
(2001) Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms. Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International 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/14620/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. Application to two types of nonlinear models namely Hammerstein and Wiener Models is studied and the simulation results are shown for the case of two chemical processes to demonstrate the performance of the proposed scheme
eu_rights_str_mv openAccess
format article
id KFUPM_f4a709fc9422dfdefb552a9b37de1b65
identifier_str_mv (2001) Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms. Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International 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::14620
publishDate 2001
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithmsAl-Duwaish, H.Naeem, W.unknownComputerModel predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. Application to two types of nonlinear models namely Hammerstein and Wiener Models is studied and the simulation results are shown for the case of two chemical processes to demonstrate the performance of the proposed schemeIEEE20012020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14620/1/14620_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14620/2/14620_2.doc (2001) Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms. Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14620/info:eu-repo/semantics/openAccessoai::146202019-11-01T14:06:40Z
spellingShingle Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Al-Duwaish, H.
Computer
status_str publishedVersion
title Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
title_full Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
title_fullStr Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
title_full_unstemmed Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
title_short Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
title_sort Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14620/1/14620_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14620/2/14620_2.doc