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Stochastic model predictive control for tracking linear systems
dc.creator | D' Jorge, Agustina | |
dc.creator | Santoro, Bruno | |
dc.creator | Anderson, Alejandro Luis | |
dc.creator | González, Alejandro Hernán | |
dc.creator | Ferramosca, Antonio | |
dc.date.accessioned | 2021-03-30T22:22:45Z | |
dc.date.available | 2021-03-30T22:22:45Z | |
dc.date.issued | 2019-04-11 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12272/4923 | |
dc.description.abstract | This 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.abstract | CONICET ‐ Universidad Tecnológica Nacional, Facultad Regional de Reconquista, Santa Fe, Argentina | es_ES |
dc.format | text/plain | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/embargoedAccess | es_ES |
dc.subject | MODEL PREDICTIVE CONTROL , PROBABILISTIC CONSTRAINTS , STOCHASTIC CONTROL , TRACKING | es_ES |
dc.title | Stochastic model predictive control for tracking linear systems | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.affiliation | Fil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentina | es_ES |
dc.description.affiliation | Fil: Federal University of São Paulo, São Paulo, Brazil | es_ES |
dc.description.affiliation | Fil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentina | es_ES |
dc.description.affiliation | Fil: Institute of Technological Development for the Chemical Industry, CONICET–Universidad Nacional del Litoral, Santa Fe, Argentina | es_ES |
dc.description.peerreviewed | Peer Reviewed | es_ES |
dc.type.version | publisherVersion | es_ES |
dc.rights.use | N/A | es_ES |
dc.identifier.doi | https://doi.org/10.1002/oca.2501 |