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Parallel Computing for Rolling Mill Process with a Numerical Treatment of the LQR Problem

dc.contributor.authorGómez Múnera, John Andersonspa
dc.contributor.authorGiraldo Quintero, Alejandrospa
dc.date.accessioned2021-11-17T02:40:50Z
dc.date.available2021-11-17T02:40:50Z
dc.date.issued2021
dc.identifier.citationJ. A. Gómez & A. Giraldo-Quintero, “Parallel Computing for Rolling Mill Process with a Numerical Treatment of the LQR Problem”, J. Comput. Electron. Sci.: Theory Appl., vol. 1, no. 1, pp. 11–30, 2020. https://doi.org/10.17981/cesta.01.01.2020.02spa
dc.identifier.urihttps://hdl.handle.net/11323/8869spa
dc.description.abstractThe considerable increase in computation of the optimal control problems has in many cases overflowed the computing capacity available to handle complex systems in real time. For this reason, alternatives such as parallel computing are studied in this article, where the problem is worked out by distributing the tasks among several processors in order to accelerate the computation and to analyze and investigate the reduction of the total time of calculation the incremental gradually the processors used in it. We explore the use of these methods with a case study represented in a rolling mill process, and in turn making use of the strategy of updating the Phase Finals values for the construction of the final penalty matrix for the solution of the differential Riccati Equation. In addition, the order of the problem studied is increasing gradually for compare the improvements achieved in the models with major dimension. Parallel computing alternatives are also studied through multiple processing elements within a single machine or in a cluster via OpenMP, which is an application programming interface (API) that allows the creation of shared memory programs.eng
dc.format.extent20 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)spa
dc.rights© The author; licensee Universidad de la Costa - CUC.spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.sourceComputer and Electronic Sciences: Theory and Applicationsspa
dc.titleParallel Computing for Rolling Mill Process with a Numerical Treatment of the LQR Problemspa
dc.typeArtículo de revistaspa
dc.identifier.urlhttps://doi.org/10.17981/cesta.01.01.2020.02spa
dc.source.urlhttps://revistascientificas.cuc.edu.co/CESTA/article/view/3376spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doi10.17981/cesta.01.01.2020.02spa
dc.identifier.eissn2745-0090spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.publisher.placeBarranquillaspa
dc.relation.ispartofjournalComputer and Electronic Sciences: Theory and Applicationsspa
dc.relation.ispartofjournalComputer and Electronic Sciences: Theory and Applicationsspa
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dc.subject.proposalAutomatic controleng
dc.subject.proposalChemical processeseng
dc.subject.proposalComputer programmingeng
dc.subject.proposalComputer techniqueseng
dc.subject.proposalMultithreadingeng
dc.subject.proposalParallel algorithmseng
dc.subject.proposalParallel processingeng
dc.subject.proposalControl automáticospa
dc.title.translatedComputación en paralelo para el proceso de laminación con un tratamiento numérico del problema de LQRspa
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dc.relation.citationendpage30
dc.relation.citationstartpage11
dc.relation.citationissue1spa
dc.relation.citationvolume1spa
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