On an Optimization Problem in Sensor Selection*
dc.contributor.author | Debouk, Rami | en_US |
dc.contributor.author | Lafortune, Stéphane | en_US |
dc.contributor.author | Teneketzis, Demosthenis | en_US |
dc.date.accessioned | 2006-09-11T15:38:05Z | |
dc.date.available | 2006-09-11T15:38:05Z | |
dc.date.issued | 2002-10 | en_US |
dc.identifier.citation | Debouk, Rami; Lafortune, Stéphane; Teneketzis, Demosthenis; (2002). "On an Optimization Problem in Sensor Selection*." Discrete Event Dynamic Systems 12(4): 417-445. <http://hdl.handle.net/2027.42/45068> | en_US |
dc.identifier.issn | 0924-6703 | en_US |
dc.identifier.issn | 1573-7594 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45068 | |
dc.description.abstract | We address the following sensor selection problem. We assume that a dynamic system possesses a certain property, call it Property D, when a set Γ of sensors is used. There is a cost c A associated with each set A of sensors that is a subset of Γ. Given any set of sensors that is a subset of Γ, it is possible to determine, via a test, whether the resulting system-sensor combination possesses Property D. Each test required to check whether or not Property D holds incurs a fixed cost. For each set of sensors A that is a subset of Γ there is an a priori probability p A that the test will be positive, i.e., the system-sensor combination possesses Property D. The objective is to determine a test strategy, i.e., a sequence of tests, to minimize the expected cost, associated with the tests, that is incurred until a least expensive combination of sensors that results in a system-sensor combination possessing Property D is identified. We determine conditions on the sensor costs c A and the a priori probabilities p A under which the strategy that tests combinations of sensors in increasing order of cost is optimal with respect to the aforementioned objective. | en_US |
dc.format.extent | 329368 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Mathematics | en_US |
dc.subject.other | Systems Theory, Control | en_US |
dc.subject.other | Convex and Discrete Geometry | en_US |
dc.subject.other | Manufacturing, Machines, Tools | en_US |
dc.subject.other | Electronic and Computer Engineering | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.subject.other | Failure Diagnosis | en_US |
dc.subject.other | Hypothesis Testing | en_US |
dc.subject.other | Markovian Decision Problems | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Sensor Selection | en_US |
dc.title | On an Optimization Problem in Sensor Selection* | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Mechanical 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, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, The University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, The University of Michigan, 1301 Beal Avenue, Ann Arbor, MI, 48109-2122, U.S.A. | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45068/1/10626_2004_Article_5094313.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1019770124060 | en_US |
dc.identifier.source | Discrete Event Dynamic Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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