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Sampled-data observer error linearization

dc.contributor.authorChung, S. -T.en_US
dc.contributor.authorGrizzle, Jessy W.en_US
dc.date.accessioned2006-04-10T13:34:57Z
dc.date.available2006-04-10T13:34:57Z
dc.date.issued1990-11en_US
dc.identifier.citationChung, S. -T., Grizzle, J. W. (1990/11)."Sampled-data observer error linearization." Automatica 26(6): 997-1007. <http://hdl.handle.net/2027.42/28343>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V21-47X24BP-8T/2/414c4b7b6d033f17c6288f0b01b6ffffen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/28343
dc.description.abstractThe effects of time-sampling on the solvability conditions for the observer linearization design methodology are investigated. It is shown that the class of systems for which this design method can be applied for an open set of sampling times is quite small. In particular, when the dimension of the state space is two, it consists only of those systems that are state-equivalent to a linear system. The practical implication is that digital implementations of this methodology will have to be approximate.en_US
dc.format.extent874586 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleSampled-data observer error linearizationen_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.affiliationumDepartment of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, U.S.A.en_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/28343/1/0000103.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0005-1098(90)90084-Uen_US
dc.identifier.sourceAutomaticaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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