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Application of mixed integer nonlinear programming for system identification

dc.contributor.authorFernandes, Natércia C.P.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorRomanenko, Andrey
dc.date.accessioned2023-02-27T16:36:54Z
dc.date.available2023-02-27T16:36:54Z
dc.date.issued2020
dc.description.abstractThis work describes a method of deadtime approximation in dynamic systems, particularly in the context of nonlinear model predictive control based on mechanistic models where the differentiability of the equations must be ensured. The resulting system identification system is solved using the BBMCSFilter (Branch and Bound based on a Multistart Coordinate Search Filter) global optimization algorithm to determine the order and the parameters of the resulting model, taking into account not only the model-plant mismatch but also the model complexity and the resulting computation time. The application of the method is illustrated with a simulated example of a chemical process unit. © 2020 American Institute of Physics Inc.. All rights reserved.pt_PT
dc.description.sponsorshipThis work was supported by Fundac¸ao para a Ciência e a Tecnologia, UID/EQU/00102/2019. The first author also thanks project MATIS, ref. CENTRO-01-0145-FEDER-000014, with financial support of ERDF (CENTRO2020).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandes, Natércia C.P.; Fernandes, Florbela P.; Romanenko, Andrey (2020). Application of mixed integer nonlinear programming for system identification. In International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019. Rhodespt_PT
dc.identifier.doi10.1063/5.0026410pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27255
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAIP Publishingpt_PT
dc.relationResearch Center for Chemical Processes and Forest Products
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleApplication of mixed integer nonlinear programming for system identificationpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Center for Chemical Processes and Forest Products
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEQU%2F00102%2F2019/PT
oaire.citation.conferencePlaceRhodespt_PT
oaire.citation.startPage260003pt_PT
oaire.citation.titleInternational Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019pt_PT
oaire.citation.volume2293pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFernandes
person.givenNameFlorbela P.
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.orcid0000-0001-9542-4460
person.identifier.scopus-author-id35179471000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isProjectOfPublication175fd9b7-7a3d-48d5-8f70-f18e36b68854
relation.isProjectOfPublication.latestForDiscovery175fd9b7-7a3d-48d5-8f70-f18e36b68854

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