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Economic model predictive control based on a periodicity constraint
dc.contributor.author | Wang, Ye |
dc.contributor.author | Salvador Ortiz, José Ramón |
dc.contributor.author | Muñoz De la Peña, David |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Cembrano Gennari, Gabriela |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-04-23T09:19:04Z |
dc.date.available | 2019-04-23T09:19:04Z |
dc.date.issued | 2018-08-01 |
dc.identifier.citation | Wang, Y. [et al.]. Economic model predictive control based on a periodicity constraint. "Journal of process control", 1 Agost 2018, vol. 68, núm. August 2018, p. 226-239. |
dc.identifier.issn | 0959-1524 |
dc.identifier.uri | http://hdl.handle.net/2117/131810 |
dc.description | © <2018>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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. |
dc.format.extent | 14 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | Economic model predictive control |
dc.subject.other | Periodicity constraint |
dc.subject.other | Recursive feasibility |
dc.subject.other | Convergence analysis |
dc.subject.other | Water distribution networks |
dc.title | Economic model predictive control based on a periodicity constraint |
dc.type | Article |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1016/j.jprocont.2018.06.008 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Control theory::Predictive control |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0959152418301227 |
dc.rights.access | Open Access |
local.identifier.drac | 23337172 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Wang, Y.; Salvador, J.; Muñoz de la Peña , D.; Puig, V.; Cembrano, M. |
local.citation.publicationName | Journal of process control |
local.citation.volume | 68 |
local.citation.number | August 2018 |
local.citation.startingPage | 226 |
local.citation.endingPage | 239 |
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