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Robust nonlinear state feedback under structured uncertainty

dc.contributor.authorKravaris, Costasen_US
dc.contributor.authorPalanki, Srinivasen_US
dc.date.accessioned2006-04-28T15:45:55Z
dc.date.available2006-04-28T15:45:55Z
dc.date.issued1988-07en_US
dc.identifier.citationKravaris, Costas; Palanki, Srinivas (1988)."Robust nonlinear state feedback under structured uncertainty." AIChE Journal 34(7): 1119-1127. <http://hdl.handle.net/2027.42/37402>en_US
dc.identifier.issn0001-1541en_US
dc.identifier.issn1547-5905en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/37402
dc.description.abstractThis work follows the global input/output linearization approach for the design of control systems for nonlinear plants of Kravaris and Chung. A robust nonlinear state feedback is proposed for uncertainties considered as a class of bounded perturbations to the state model. A Liapunov-based approach is used to guarantee uniform ultimate boundedness.en_US
dc.format.extent543320 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherAmerican Institute of Chemical Engineersen_US
dc.publisherWiley Periodiocals, Inc.en_US
dc.subject.otherChemistryen_US
dc.subject.otherChemical Engineeringen_US
dc.titleRobust nonlinear state feedback under structured uncertaintyen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109 ; Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationumDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/37402/1/690340708_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/aic.690340708en_US
dc.identifier.sourceAIChE Journalen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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