Robust Identification of PWL-Wiener Models: Use in Model Predictive Control

dc.creatorLusson Cervantez, Ania
dc.creatorAgamennoni, Osvaldo Enrique
dc.creatorFigueroa, Jose Luis
dc.date.accessioned2020-05-03T20:19:50Z
dc.date.accessioned2022-10-15T13:17:17Z
dc.date.available2020-05-03T20:19:50Z
dc.date.available2022-10-15T13:17:17Z
dc.date.created2020-05-03T20:19:50Z
dc.date.issued2003-06
dc.identifierLusson Cervantez, Ania; Agamennoni, Osvaldo Enrique; Figueroa, Jose Luis; Robust Identification of PWL-Wiener Models: Use in Model Predictive Control; Planta Piloto de Ingeniería Química; Latin American Applied Research; 33; 4; 6-2003; 435-442
dc.identifier0327-0793
dc.identifierhttp://hdl.handle.net/11336/104104
dc.identifier1851-8796
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4390470
dc.description.abstractIn this paper a robust identification strategy for Wiener like models constituted by a linear dynamic block a in series with a Piecewise Linear (PWL) functions as the nonlinear static gain is presented. The proposed realization allows straightforward characterization of the static gain uncertainty. A robust Model Predictive (MPC) algorithm, using the presented model strategy, is developed to guarantee that no constrains in the feedback loop are violated.
dc.languageeng
dc.publisherPlanta Piloto de Ingeniería Química
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/i33_04.htm
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectIDENTIFICATION
dc.subjectWIENER MODEL
dc.subjectROBUSTNESS
dc.subjectMODEL PREDICTIVE CONTROL
dc.titleRobust Identification of PWL-Wiener Models: Use in Model Predictive Control
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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