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From physical models to well-founded control

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dc.contributor.author Dobson, Simon
dc.contributor.author Coyle, Lorcan
dc.contributor.author O'Hare, G.M.P.
dc.contributor.author Hinchey, Mike
dc.date.accessioned 2011-07-22T10:53:23Z
dc.date.available 2011-07-22T10:53:23Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10344/1174
dc.description peer-reviewed en_US
dc.description.abstract Mobile sensors are an attractive proposition for environmental sensing, but pose significant engineering problems. Not least amongst these is the need to match the behaviour of the sensor platform to the physical environment in which it operates. We present initial work on using models of physical processes to generate models for autonomic control, and speculate that these can be used to improve the confidence we can place in sensed data. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation.ispartofseries 2009 Sixth IEEE Conference and Workshops on Engineering of Autonomic and Autonomous Systems;pp. 119-124
dc.rights ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. en_US
dc.subject physical models en_US
dc.title From physical models to well-founded control en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.relation.projectid 03/CE2/I303-1
dc.relation.projectid 07/CE/I1147
dc.relation.projectid 04/RPI/1544
dc.internal.authorcontactother mike.hinchey@lero.ie
dc.internal.authorcontactother lorcan.coyle@ul.ie

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