On controller design for systems on manifolds in Euclidean space

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dc.contributor.authorChang, Dong Euiko
dc.date.accessioned2018-11-12T04:48:07Z-
dc.date.available2018-11-12T04:48:07Z-
dc.date.created2018-10-29-
dc.date.created2018-10-29-
dc.date.created2018-10-29-
dc.date.issued2018-11-
dc.identifier.citationINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, v.28, no.16, pp.4981 - 4998-
dc.identifier.issn1049-8923-
dc.identifier.urihttp://hdl.handle.net/10203/246506-
dc.description.abstractA new method is developed to design controllers in Euclidean space for systems defined onmanifolds. The idea is to embed the state-space manifoldM of a given control system into some Euclidean space R-n, extend the system from M to the ambient space R-n, and modify it outsideMto add transversal stability toMin the final dynamics in R-n. Controllers are designed for the final system in the ambient space R-n. Then, their restriction to M produces controllers for the original system on M. This method has the merit that only one single global Cartesian coordinate system in the ambient space R-n is used for controller synthesis, and any controller design method in R-n, such as the linearization method, can be globally applied for the controller synthesis. The proposed method is successfully applied to the tracking problem for the following two benchmark systems: the fully actuated rigid body system and the quadcopter drone system.-
dc.languageEnglish-
dc.publisherWILEY-
dc.titleOn controller design for systems on manifolds in Euclidean space-
dc.typeArticle-
dc.identifier.wosid000447293800019-
dc.identifier.scopusid2-s2.0-85052440052-
dc.type.rimsART-
dc.citation.volume28-
dc.citation.issue16-
dc.citation.beginningpage4981-
dc.citation.endingpage4998-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL-
dc.identifier.doi10.1002/rnc.4294-
dc.contributor.localauthorChang, Dong Eui-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthordrone-
dc.subject.keywordAuthorembedding-
dc.subject.keywordAuthormanifold-
dc.subject.keywordAuthorquadcopter-
dc.subject.keywordAuthorrigid body-
dc.subject.keywordAuthortracking-
dc.subject.keywordPlusTRANSVERSE FEEDBACK LINEARIZATION-
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