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Observer-based control of block-triangular discrete time hybrid automata on a partial order Parts of this work appeared in the Proceedings of the Conference on Decision and Control, 2007.

dc.contributor.authorDel Vecchio, Domitillaen_US
dc.date.accessioned2009-09-02T14:39:26Z
dc.date.available2010-10-05T18:27:30Zen_US
dc.date.issued2009-09-25en_US
dc.identifier.citationDel Vecchio, Domitilla (2009). "Observer-based control of block-triangular discrete time hybrid automata on a partial order Parts of this work appeared in the Proceedings of the Conference on Decision and Control, 2007. ." International Journal of Robust and Nonlinear Control 19(14): 1581-1602. <http://hdl.handle.net/2027.42/63611>en_US
dc.identifier.issn1049-8923en_US
dc.identifier.issn1099-1239en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/63611
dc.description.abstractThe safety control problem for the class of discrete time block-triangular order preserving hybrid automata with imperfect continuous state information is addressed. A dynamic feedback law is constructed in order to guarantee that the continuous state is always outside a bad set. The order preserving properties of the dynamics are exploited to construct state estimation and control algorithms that have linear complexity in the number of variables. Such algorithms adopt an interval abstraction approach, in which sets of interest are represented and propagated only through suitable upper and lower bounds. The proposed algorithms are applied to a collision avoidance problem arising in the context of intelligent transportation. Copyright © 2008 John Wiley & Sons, Ltd.en_US
dc.format.extent357330 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherEngineeringen_US
dc.subject.otherElectronic, Electrical & Telecommunications Engineeringen_US
dc.titleObserver-based control of block-triangular discrete time hybrid automata on a partial order Parts of this work appeared in the Proceedings of the Conference on Decision and Control, 2007.en_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.affiliationumSystems Laboratory, University of Michigan, Ann Arbor, Michigan, U.S.A. ; Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/63611/1/1377_ftp.pdf
dc.identifier.doi10.1002/rnc.1377en_US
dc.identifier.sourceInternational Journal of Robust and Nonlinear Controlen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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