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dc.creatorGonzález, Alejandro Hernán-
dc.creatorMarchetti, Jacinto Luis-
dc.creatorOdloak, D.-
dc.date2017-10-02T18:09:14Z-
dc.date2017-10-02T18:09:14Z-
dc.date2009-01-
dc.date2017-09-25T18:24:19Z-
dc.date.accessioned2019-04-29T15:55:19Z-
dc.date.available2019-04-29T15:55:19Z-
dc.identifierGonzález, Alejandro Hernán; Marchetti, Jacinto Luis; Odloak, D.; Robust model predictive control with Zone Control; Institute of Electrical and Electronics Engineers; IET Control Theory & Applications; 3; 1; 1-2009; 121-135-
dc.identifier1751-8644-
dc.identifierhttp://hdl.handle.net/11336/25595-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/305386-
dc.descriptionModel predictive control (MPC) is usually implemented as a control strategy where the system outputs are controlled within specified zones, instead of fixed set points. One strategy to implement the zone control is by means of the selection of different weights for the output error in the control cost function. A disadvantage of this approach is that closed-loop stability cannot be guaranteed, as a different linear controller may be activated at each time step. A way to implement a stable zone control is by means of the use of an infinite horizon cost in which the set point is an additional variable of the control problem. In this case, the set point is restricted to remain inside the output zone and an appropriate output slack variable is included in the optimisation problem to assure the recursive feasibility of the control optimisation problem. Following this approach, a robust MPC is developed for the case of multi-model uncertainty of open-loop stable systems. The controller is devoted to maintain the outputs within their corresponding feasible zone, while reaching the desired optimal input target. Simulation of a process of the oil refining industry illustrates the performance of the proposed strategy.-
dc.descriptionFil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina. Universidade de Sao Paulo; Brasil-
dc.descriptionFil: Marchetti, Jacinto Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina-
dc.descriptionFil: Odloak, D.. Universidade de Sao Paulo; Brasil-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1049/iet-cta:20070211-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/4745906/-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectMODEL PREDICTIVE CONTROL-
dc.subjectZONE CONTROL-
dc.subjectOtras Ingeniería Química-
dc.subjectIngeniería Química-
dc.subjectINGENIERÍAS Y TECNOLOGÍAS-
dc.titleRobust model predictive control with Zone Control-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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