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dc.contributor.authorBalaguer, Pedro
dc.contributor.authorAlfonso, j. Carlos
dc.date.accessioned2021-02-22T10:38:59Z
dc.date.available2021-02-22T10:38:59Z
dc.date.issued2020-12-28
dc.identifier.citationBALAGUER, Pedro; ALFONSO, Jos Carlos. Optimal Sampling Pattern for Free Final Time Linear Quadratic Regulator: The Scalar Case. International Journal of Control, 2020, 1-21ca_CA
dc.identifier.issn0020-7179
dc.identifier.urihttp://hdl.handle.net/10234/192142
dc.description.abstractThe optimal sampling problem is the selection of the optimal sampling instants together with the optimal control actions such that a given cost function is minimized. In this article we solve the optimal sampling problem for free final time linear quadratic regulator with scalar dynamical system. The solution provides the optimal sampling instants, control actions, and the optimal final time in a recursive and constructive way for any arbitrary number of samples N ≥ 1, as it is not based on asymptotic arguments. An application example shows the feasibility of the approach.ca_CA
dc.format.extent21 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherTaylor & Francisca_CA
dc.relation.isPartOfInternational Journal of Control, 2020, 1-21ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectoptimal samplingca_CA
dc.subjectlinear quadratic regulatorca_CA
dc.subjectcontrol designca_CA
dc.subjectoptimal controlca_CA
dc.subjectnetworked controlca_CA
dc.subjectreal-time systemsca_CA
dc.titleOptimal sampling pattern for free final time linear quadratic regulator: the scalar caseca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1080/00207179.2020.1861335
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.tandfonline.com/doi/full/10.1080/00207179.2020.1861335ca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_CA


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