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dc.creatorLu, Lianges
dc.creatorLimón Marruedo, Danieles
dc.creatorKolmanovsky, Ilyaes
dc.date.accessioned2024-01-21T10:49:18Z
dc.date.available2024-01-21T10:49:18Z
dc.date.issued2022-08
dc.identifier.citationLu, L., Limón, D. y Kolmanovsky, I. (2022). Self-triggered MPC with performance guarantee for tracking piecewise constant reference signals. Automatica, 142, 110364. https://doi.org/10.1016/j.automatica.2022.110364.
dc.identifier.issn0005-1098es
dc.identifier.urihttps://hdl.handle.net/11441/153689
dc.description.abstractThis paper considers a self-triggered MPC controller design strategy for tracking piecewise constant reference signals. The proposed triggering scheme is based on the relaxed dynamic programming inequality and the idea of reference governor; such a scheme computes both the updated control action and the next triggering time. The resulting self-triggered tracking MPC control law preserves stability and constraint satisfaction and also satisfies certain a priori chosen performance requirements without the need to impose stabilizing terminal conditions. An illustrative example shows the effectiveness of this self-triggered tracking MPC implementation.es
dc.description.sponsorshipNational Nature Science Foundation (China) 61304091es
dc.description.sponsorshipEuropean Union NextGenerationEU/PRTR P20_00546es
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofAutomatica, 142, 110364.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSelf-triggered controles
dc.subjectTracking model predictive controles
dc.subjectReference governores
dc.subjectRelaxed dynamic programminges
dc.titleSelf-triggered MPC with performance guarantee for tracking piecewise constant reference signalses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.relation.projectIDPDC2021-121120-C21es
dc.relation.projectIDMCIN/AEI/ 10.13039/501100011033es
dc.relation.projectIDEU/PRTR P20_00546es
dc.date.embargoEndDate2024-09-01
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S000510982200214Xes
dc.identifier.doi10.1016/j.automatica.2022.110364es
dc.contributor.groupUniversidad de Sevilla. TEP950: Estimación, Predicción, Optimización y Controles
dc.journaltitleAutomaticaes
dc.publication.volumen142es
dc.publication.initialPage110364es
dc.contributor.funderEuropean Union (UE)es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderAgencia Estatal de Investigación. Españaes
dc.contributor.funderJunta de Andalucíaes

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