Aiming control: Residence probability and (D, T)-stability,
dc.contributor.author | Kim, S. | en_US |
dc.contributor.author | Meerkov, Semyon M. | en_US |
dc.contributor.author | Runolfsson, T. | en_US |
dc.date.accessioned | 2006-04-10T15:15:05Z | |
dc.date.available | 2006-04-10T15:15:05Z | |
dc.date.issued | 1992-05 | en_US |
dc.identifier.citation | Kim, 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.uri | http://www.sciencedirect.com/science/article/B6V21-47SVFB5-Y/2/d77b84f449eb9ea81cd9bda160a2c90c | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30088 | |
dc.description.abstract | In 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.extent | 506860 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Aiming control: Residence probability and (D, T)-stability, | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mechanical Engineering | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30088/1/0000459.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0005-1098(92)90178-I | en_US |
dc.identifier.source | Automatica | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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