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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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2001
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| 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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| _version_ | 1864513403178975232 |
|---|---|
| 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 |