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dc.creatorBonilla M.spa
dc.creatorAzhmyakov V.spa
dc.creatorMalabre M.spa
dc.date.accessioned2017-12-19T19:36:42Z
dc.date.available2017-12-19T19:36:42Z
dc.date.created2017
dc.identifier.issn24058963
dc.identifier.urihttp://hdl.handle.net/11407/4262
dc.description.abstractThis paper discusses a novel implementable approach to an exact linearization procedure based on the implicit systems techniques. The formal procedure we propose includes a specific “splitting” of the nonlinear state representation in two parts that involve a basic rectangular representation and an auxiliary nonlinear algebraic equation. The proposed linear implicit systems description makes it possible to apply the conventional linear control techniques to an initially given sophisticated nonlinear dynamic model. © 2017eng
dc.language.isoeng
dc.publisherElsevier B.V.spa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85031782801&doi=10.1016%2fj.ifacol.2017.08.2361&partnerID=40&md5=de1977aeb5c50b70b3678de838e68728spa
dc.sourceScopusspa
dc.titleLinearization by means of Linear Implicit Rectangular Descriptionsspa
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.contributor.affiliationBonilla, M., CINVESTAV-IPN, Control Automático, UMI 3175, CINVESTAV-CNRS.A.P. 14-740, Mexicospa
dc.contributor.affiliationAzhmyakov, V., Universidad de Medellin, Department of Basic Sciences, Medellin, Colombiaspa
dc.contributor.affiliationMalabre, M., CNRS, LS2N (Laboratoire des Sciences du Numérique de Nantes), UMR 6004, B.P. 92101, Cedex 03, Nantes, Francespa
dc.identifier.doi10.1016/j.ifacol.2017.08.2361
dc.subject.keywordfeedback linearizationeng
dc.subject.keywordimplicit rectangular descriptioneng
dc.subject.keywordimplicit systemseng
dc.subject.keywordnonlinear systemseng
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.abstractThis paper discusses a novel implementable approach to an exact linearization procedure based on the implicit systems techniques. The formal procedure we propose includes a specific “splitting” of the nonlinear state representation in two parts that involve a basic rectangular representation and an auxiliary nonlinear algebraic equation. The proposed linear implicit systems description makes it possible to apply the conventional linear control techniques to an initially given sophisticated nonlinear dynamic model. © 2017eng
dc.creator.affiliationCINVESTAV-IPN, Control Automático, UMI 3175, CINVESTAV-CNRS.A.P. 14-740, Mexicospa
dc.creator.affiliationUniversidad de Medellin, Department of Basic Sciences, Medellin, Colombiaspa
dc.creator.affiliationCNRS, LS2N (Laboratoire des Sciences du Numérique de Nantes), UMR 6004, B.P. 92101, Cedex 03, Nantes, Francespa
dc.relation.ispartofesIFAC-PapersOnLinespa
dc.relation.ispartofesIFAC-PapersOnLine Volume 50, Issue 1, July 2017, Pages 10822-10827spa
dc.relation.referencesBonilla, M., Malabre, M., & Azhmyakov, V. (2015). An implicit systems characterization of a class of impulsive linear switched control processes. part 1: Modeling. Nonlinear Analysis: Hybrid Systems, 15, 157-170. doi:10.1016/j.nahs.2014.04.002spa
dc.relation.referencesBonilla, M., Malabre, M., & Azhmyakov, V. (2015). An implicit systems characterization of a class of impulsive linear switched control processes. part 2: Control. Nonlinear Analysis: Hybrid Systems, 18, 15-32. doi:10.1016/j.nahs.2015.03.005spa
dc.relation.referencesBonilla, M., Malabre, M., & Fonseca, M. (1997). On the approximation of non-proper control laws. International Journal of Control, 68(4), 775-796. doi:10.1080/002071797223334spa
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dc.relation.referencesGantmacher, F. R. (1959). The Theory of Matrices.spa
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dc.relation.referencesMorse, A. S. (1996). Supervisory control of families of linear set-point controllers - part 1: Exact matching. IEEE Transactions on Automatic Control, 41(10), 1413-1431. doi:10.1109/9.539424spa
dc.relation.referencesNazrulla, S., & Khalil, H. K. (2011). Robust stabilization of non-minimum phase nonlinear systems using extended high-gain observers. IEEE Transactions on Automatic Control, 56(4), 802-813. doi:10.1109/TAC.2010.2069612spa
dc.relation.referencesVidyasagar, M. (1993). Nonlinear Systems Analysis.spa
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa


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