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Aiming control: Residence probability and (D, T)-stability,
dc.contributor.authorKim, S.en_US
dc.contributor.authorMeerkov, Semyon M.en_US
dc.contributor.authorRunolfsson, T.en_US
dc.date.accessioned2006-04-10T15:15:05Z
dc.date.available2006-04-10T15:15:05Z
dc.date.issued1992-05en_US
dc.identifier.citationKim, S., Meerkov, S. M., Runolfsson, T. (1992/05)."Aiming control: Residence probability and (D, T)-stability,." Automatica 28(3): 549-555. <http://hdl.handle.net/2027.42/30088>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V21-47SVFB5-Y/2/d77b84f449eb9ea81cd9bda160a2c90cen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30088
dc.description.abstractIn this paper, the problem of aiming control is formulated and analyzed in terms of the residence probability measure. Specifically, the notion of residence probability in a domain is introduced and its asymptotic expression is derived for linear systems with small, additive white noise. The associated notion of (D, T)-stability, which characterizes the performance of stochastic systems with no equilibrium points, is introduced and investigated. Finally, the controllability of residence probability is studied and the necessary and sufficient conditions for (D, T)-stabilizability are derived. The development is based on the asymptotic large deviations theory.en_US
dc.format.extent506860 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAiming control: Residence probability and (D, T)-stability,en_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.contributor.affiliationotherDepartment of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30088/1/0000459.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0005-1098(92)90178-Ien_US
dc.identifier.sourceAutomaticaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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