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Optimal hold functions for sampled data regulation

dc.contributor.authorJuan, Y. -C.en_US
dc.contributor.authorKabamba, Pierre T.en_US
dc.date.accessioned2006-04-10T14:52:54Z
dc.date.available2006-04-10T14:52:54Z
dc.date.issued1991-01en_US
dc.identifier.citationJuan, Y. -C., Kabamba, P. T. (1991/01)."Optimal hold functions for sampled data regulation." Automatica 27(1): 177-181. <http://hdl.handle.net/2027.42/29569>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V21-47WTFFF-BC/2/4f340b4cedf63a284a2dd98a44a35f65en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29569
dc.description.abstractThis paper investigates the use of Generalized Sampled Data Hold Function Control (GSHF) to optimize quadratic measures of performance in sampled data control loops. The idea of GSHF control is to use sampled data feedback, but consider the hold function as a design parameter. Explicit solutions are given for the GSHF versions of the optimal LQ and LQG regulators. The questions of existence, uniqueness and computation of optimal hold functions are treated. An example is presented.en_US
dc.format.extent425180 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleOptimal hold functions for sampled data regulationen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumAerospace Engineering Department, The University of Michigan, Ann Arbor, MI 48109-2140, U.S.A.en_US
dc.contributor.affiliationumAerospace Engineering Department, The University of Michigan, Ann Arbor, MI 48109-2140, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29569/1/0000657.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0005-1098(91)90018-Wen_US
dc.identifier.sourceAutomaticaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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