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Lyapunov-stable discrete-time model reference adaptive control
dc.contributor.authorAkhtar, S.en_US
dc.contributor.authorBernstein, Dennis S.en_US
dc.date.accessioned2006-12-07T16:52:31Z
dc.date.available2006-12-07T16:52:31Z
dc.date.issued2005-12en_US
dc.identifier.citationAkhtar, S.; Bernstein, D. S. (2005)."Lyapunov-stable discrete-time model reference adaptive control." International Journal of Adaptive Control and Signal Processing 19(10): 745-767. <http://hdl.handle.net/2027.42/48767>en_US
dc.identifier.issn0890-6327en_US
dc.identifier.issn1099-1115en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48767
dc.description.abstractDiscrete-time model reference adaptive control (MRAC) is considered with both least squares and projection algorithm parameter identification. For both cases complete Lyapunov proofs are given for stability and convergence. The results extend the approach of Johansson ( Int. J. Control 1989; 50 (3):859–869) to include Lyapunov stability for MRAC when the normalized projection algorithm is used for parameter identification. Copyright © 2005 John Wiley & Sons, Ltd.en_US
dc.format.extent258725 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherEngineeringen_US
dc.subject.otherElectronic, Electrical & Telecommunications Engineeringen_US
dc.titleLyapunov-stable discrete-time model reference adaptive controlen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, The University of Michigan, Ann Arbor, MI 48109-2140, U.S.A. ; Department of Aerospace Engineering, The University of Michigan, Ann Arbor, MI 48109-2140, U.S.Aen_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, The University of Michigan, Ann Arbor, MI 48109-2140, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48767/1/876_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/acs.876en_US
dc.identifier.sourceInternational Journal of Adaptive Control and Signal Processingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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