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dc.creatorD' Jorge, Agustina
dc.creatorSantoro, Bruno
dc.creatorAnderson, Alejandro Luis
dc.creatorGonzález, Alejandro Hernán
dc.creatorFerramosca, Antonio
dc.date.accessioned2021-03-30T22:22:45Z
dc.date.available2021-03-30T22:22:45Z
dc.date.issued2019-04-11
dc.identifier.urihttp://hdl.handle.net/20.500.12272/4923
dc.description.abstractThis note presents a stochastic formulation of the model predictive control for tracking (MPCT), based on the results of the work of Lorenzen et al. The proposed controller ensures constraints satisfaction in probability, and maintains the main features of the MPCT, that are feasibility for any changing setpoints and enlarged domain of attraction, even larger than the one delivered by Lorenzen et al, thanks to the use of artificial references and relaxed terminal constraints. The asymptotic stability (in probability) of the minimal robust positively invariant set centered on the desired setpoint is guaranteed. Simulations on a DC-DC converter show the benefits and the properties of the proposal.es_ES
dc.description.abstractCONICET ‐ Universidad Tecnológica Nacional, Facultad Regional de Reconquista, Santa Fe, Argentinaes_ES
dc.formattext/plaines_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.subjectMODEL PREDICTIVE CONTROL , PROBABILISTIC CONSTRAINTS , STOCHASTIC CONTROL , TRACKINGes_ES
dc.titleStochastic model predictive control for tracking linear systemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.affiliationFil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentinaes_ES
dc.description.affiliationFil: Federal University of São Paulo, São Paulo, Braziles_ES
dc.description.affiliationFil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentinaes_ES
dc.description.affiliationFil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentinaes_ES
dc.description.peerreviewedPeer Reviewedes_ES
dc.type.versionpublisherVersiones_ES
dc.rights.useN/Aes_ES
dc.identifier.doihttps://doi.org/10.1002/oca.2501


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