Structural feedback linearization based on nonlinearities rejection

Vista sencilla de ítem
dc.contributor.affiliationCINVESTAV-IPN, DCA, Mexicospa
dc.contributor.affiliationBonilla, M., CINVESTAV-IPN, DCA, UMI 3175, CINVESTAV-CNRS, Mexicospa
dc.contributor.affiliationMalabre, M., CNRS, LS2N (Laboratoire des Sciences du Numérique de Nantes), UMR 6004, Francespa
dc.contributor.affiliationUniversidad de Medellin, Department of Basic Sciences, Medellin, Colombiaspa
dc.contributor.affiliationSalazar, S., CINVESTAV-IPN, SANAS, UMI 3175, CINVESTAV-CNRS, Mexicospa
dc.contributor.authorBlas L.A.
dc.contributor.authorBonilla M.
dc.contributor.authorMalabre M.
dc.contributor.authorAzhmyakov V.
dc.contributor.authorSalazar S.
dc.date.accessioned2017-12-19T19:36:41Z
dc.date.available2017-12-19T19:36:41Z
dc.date.issued2017
dc.description.abstractIn this paper, a structural feedback linearization technique is proposed. This is a quite simple and effective linear control scheme based on failure detection techniques. Our proposed linear control approach is intended to reject the nonlinearities, which are treated as failure signals affecting the systems dynamics. The proposed control methodology is illustrated via the attitude control of a quadrotor in hover flying. © 2017eng
dc.identifier.doi10.1016/j.ifacol.2017.08.090
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn24058963
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.urihttp://hdl.handle.net/11407/4249
dc.language.isoeng
dc.publisherElsevier B.V.spa
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.relation.ispartofIFAC-PapersOnLinespa
dc.relation.ispartofIFAC-PapersOnLine Volume 50, Issue 1, July 2017, Pages 922-927spa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85031776095&doi=10.1016%2fj.ifacol.2017.08.090&partnerID=40&md5=8dfa35de87143f0594e830d4b729452e
dc.relation.referencesBlinchikoff, H. J., & Zverev, A. I. (1976). Filtering in the Time and Frequency Domains.spa
dc.relation.referencesBonilla, M., Blas, L. A., Salazar, S., MartÍnez, J. C., & Malabre, M. (2016). , 2596-2601.spa
dc.relation.referencesBrunovsky, P. (1970). A classification of linear controllable systems. Kybernetika, 3(6), 173-188.spa
dc.relation.referencesCarrillo, L. R. G., Lopez, A. E. D., Lozano, R., & Pegard, C. (2013). Quad Rotorcraft Control.spa
dc.relation.referencesCook, M. V. (2013). Flight dynamics principles. Flight dynamics principles () doi:10.1016/C2010-0-65889-5spa
dc.relation.referencesIsermann, R. (1984). Process fault detection based on modeling and estimation methods-A survey. Automatica, 20(4), 387-404. doi:10.1016/0005-1098(84)90098-0spa
dc.relation.referencesMassoumnia, M. -. (1986). A geometric approach to the synthesis of failure detection filters. IEEE Transactions on Automatic Control, 31(9), 839-846. doi:10.1109/TAC.1986.1104419spa
dc.relation.referencesPowers, C., Mellinger, D., & Kumar, V. (2014). Quadrotor kinematics and dynamics. Chapter 16 of Handbook of Unmanned Aerial Vehicles.spa
dc.relation.referencesSaberi, A., Stoorvogel, A. A., Sannuti, P., & Niemann, H. (2000). Fundamental problems in fault detection and identification. International Journal of Robust and Nonlinear Control, 10(14), 1209-1236. doi:10.1002/1099-1239(20001215)10:14<1209spa
dc.relation.referencesVidyasagar, M. (1993). Nonlinear Systems Analysis.spa
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceScopusspa
dc.subject.proposalfailure reconstructioneng
dc.subject.proposalfeedback linearizationeng
dc.subject.proposalNonlinear systemseng
dc.titleStructural feedback linearization based on nonlinearities rejectionspa
dc.typeArticle
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Colecciones

Indexados Scopus