An improved approach for constrained robust model predictive control

dc.creatorCuzzola, FA
dc.creatorGeromel, JC
dc.creatorMorari, M
dc.date2002
dc.dateJUL
dc.date2014-11-18T20:27:01Z
dc.date2015-11-26T16:58:37Z
dc.date2014-11-18T20:27:01Z
dc.date2015-11-26T16:58:37Z
dc.date.accessioned2018-03-28T23:46:15Z
dc.date.available2018-03-28T23:46:15Z
dc.identifierAutomatica. Pergamon-elsevier Science Ltd, v. 38, n. 7, n. 1183, n. 1189, 2002.
dc.identifier0005-1098
dc.identifierWOS:000176366800011
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54417
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/54417
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54417
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1277972
dc.descriptionIn this paper, we present a new technique to address constrained robust model predictive control. The main advantage of this new approach with respect to other well-known techniques is the reduced conservativeness. Specifically, the technique described in this paper can be applied to polytopic uncertain systems and is based on the use of several Lyapunov functions each one corresponding to a different vertex of the uncertainty's polytope. (C) 2002 Elsevier Science Ltd. All rights reserved.
dc.description38
dc.description7
dc.description1183
dc.description1189
dc.languageen
dc.publisherPergamon-elsevier Science Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationAutomatica
dc.relationAutomatica
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectmodel predictive control
dc.subjectstate feedback
dc.subjectlinear matrix inequalities
dc.subjectHorizon Control
dc.subjectStability
dc.subjectMatrix
dc.titleAn improved approach for constrained robust model predictive control
dc.typeArtículos de revistas


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