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dc.contributor.authorBarreiro Gómez, Julián
dc.contributor.authorObando, Germán
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorQuijano Silva, Nicanor
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-02-26T14:07:24Z
dc.date.available2016-02-26T14:07:24Z
dc.date.issued2015
dc.identifier.citationBarreiro, J., Obando, G., Ocampo-Martinez, C.A., Quijano, N. Making non-centralized a model predictive control scheme by using distributed Smith dynamics. A: IFAC Conference on Nonlinear Model Predictive Control. "5th IFAC Conference on Nonlinear Model Predictive Control, 2015, Seville, Vol 48:23 of IFAC-PapersOnLine, pp. 434-439, 2015.". Sevilla: 2015, p. 501-506.
dc.identifier.urihttp://hdl.handle.net/2117/83498
dc.description.abstractThis paper proposes a non--centralized Model Predictive Control (MPC) scheme for a system comprised by several sub-systems. Operational constraints for each subsystem are considered as well as a single coupled constraint on the control inputs that models a limitation of the emph{resource} supplied by the controller. If the underlying optimization problem is of large-scale nature, traditional MPC suffers from computational burden issues. A cause of this problem is the requirement of having centralized information to guarantee that the computed control actions satisfy the coupled constraint. In this work, a traditional MPC is made non--centralized by means of a strategy based on distributed population dynamics. The proposed methodology divides the problem into several local MPC controllers that coordinate their decisions by using a communication network without the need of a centralized scheme. It is proved that this methodology provides an optimal solution that satisfies both the operational constraints of each sub--system, and the coupled constraint of the control signals. Finally, the proposed method is compared with a traditional centralized MPC in an industrial problem that involves several continuously stirred tank reactors.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshPredictive control
dc.subject.otheroptimal control
dc.subject.otherpredictive control.
dc.titleMaking non-centralized a model predictive control scheme by using distributed Smith dynamics
dc.typeConference report
dc.subject.lemacControl predictiu
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1016/j.ifacol.2015.11.328
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac17421495
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/318556/EU/Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks/EFFINET
local.citation.authorBarreiro, J.; Obando, G.; Ocampo-Martinez, C.A.; Quijano, N.
local.citation.contributorIFAC Conference on Nonlinear Model Predictive Control
local.citation.pubplaceSevilla
local.citation.publicationName5th IFAC Conference on Nonlinear Model Predictive Control, 2015, Seville, Vol 48:23 of IFAC-PapersOnLine, pp. 434-439, 2015.
local.citation.startingPage501
local.citation.endingPage506


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