dc.creator | Wang, Ye | es |
dc.creator | Salvador Ortiz, José Ramón | es |
dc.creator | Muñoz de la Peña Sequedo, David | es |
dc.creator | Puig, Vicenç | es |
dc.creator | Cembrano, Gabriela | es |
dc.date.accessioned | 2019-05-29T16:34:43Z | |
dc.date.available | 2019-05-29T16:34:43Z | |
dc.date.issued | 2018-08 | |
dc.identifier.citation | Wang, Y., Salvador Ortiz, J.R., Muñoz de la Peña Sequedo, D., Puig Cayuela, V. y Cembrano Gennari, G. (2018). Economic model predictive control based on a periodicity constraint. Journal of Process Control, 68, 226-239. | |
dc.identifier.issn | 0959-1524 | es |
dc.identifier.uri | https://hdl.handle.net/11441/86985 | |
dc.description.abstract | This paper addresses a novel economic model predictive control (MPC) formulation based on a periodicity constraint to achieve an optimal periodic operation for discrete-time linear systems. The proposed control strategy does not rely on forcing the terminal state by means of a terminal equality constraint and hence it does not require a priori knowledge of a periodic steady trajectory. Instead, at each sampling time step the economic cost function is optimized based on a periodicity constraint over all the periodic trajectories that include the current state. The recursive feasibility and the closed-loop convergence to a periodic steady trajectory are discussed. Moreover, an optimality certificate of this steady trajectory is provided based on the Karush–Kuhn–Tucker (KKT) optimality conditions. Finally, an application to a well-known water distribution network benchmark is presented to demonstrate the proposed economic MPC in which the closed-loop simulation results obtained with a linear model and a virtual–reality simulator are both provided | es |
dc.description.sponsorship | Unión Europea, European Development Research Fund (EDRF) DEOCS (DPI2016-76493) and SCAV (DPI2017-88403-R), | es |
dc.description.sponsorship | Generalitat de Catalunya 2017-SGR-482 | es |
dc.description.sponsorship | FPI Grant BES-2014-068319 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Process Control, 68, 226-239. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Economic model predictive control | es |
dc.subject | Periodicity constraint | es |
dc.subject | Recursive feasibility | es |
dc.subject | Convergence analysis | es |
dc.subject | Water distribution networks | es |
dc.title | Economic model predictive control based on a periodicity constraint | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2017-88403-R | es |
dc.relation.projectID | DPI2016-76493 | es |
dc.relation.projectID | BES-2014-068319 | es |
dc.relation.projectID | 2017-SGR-482 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0959152418301227 | es |
dc.identifier.doi | 10.1016/j.jprocont.2018.06.008 | es |
dc.contributor.group | Universidad de Sevilla. TEP950: Estimación, Predicción, Optimización y Control | es |
idus.format.extent | 14 | es |
dc.journaltitle | Journal of Process Control | es |
dc.publication.volumen | 68 | es |
dc.publication.initialPage | 226 | es |
dc.publication.endPage | 239 | es |