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Reduced-order state estimation for linear time-varying systems

dc.contributor.authorKim, In Sungen_US
dc.contributor.authorTeixeira, Bruno O. S.en_US
dc.contributor.authorChandrasekar, Jaganathen_US
dc.contributor.authorBernstein, Dennis S.en_US
dc.date.accessioned2009-11-30T16:44:33Z
dc.date.available2010-03-01T21:10:28Zen_US
dc.date.issued2009-11en_US
dc.identifier.citationKim, In Sung; Teixeira, Bruno O. S.; Chandrasekar, Jaganath; Bernstein, Dennis S. (2009). "Reduced-order state estimation for linear time-varying systems This research was supported by the National Science Foundation, under grants CNS-0539053 and ATM-0325332 to the University of Michigan, Ann Arbor, USA, and by FAPEMIG, Brazil. ." Asian Journal of Control 11(6): 595-609. <http://hdl.handle.net/2027.42/64446>en_US
dc.identifier.issn1561-8625en_US
dc.identifier.issn1934-6093en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/64446
dc.description.abstractWe consider reduced-order and subspace state estimators for linear discrete-time systems with possibly time-varying dynamics. The reduced-order and subspace estimators are obtained using a finite-horizon minimization approach, and thus do not require the solution of algebraic Lyapunov or Riccati equations. Copyright © 2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Societyen_US
dc.format.extent344125 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley and Sons Asia Pte Ltden_US
dc.subject.otherEngineeringen_US
dc.subject.otherElectrical and Electronics Engineeringen_US
dc.titleReduced-order state estimation for linear time-varying systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelElectrical Engineering and Computer Scienceen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherDepartment of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazilen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/64446/1/141_ftp.pdf
dc.identifier.doi10.1002/asjc.141en_US
dc.identifier.sourceAsian Journal of Controlen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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