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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 | 2010-10-25T11:00:18Z | |
dc.date.available | 2010-10-25T11:00:18Z | |
dc.date.issued | 2009-04 | |
dc.identifier | 1498136 | |
dc.identifier | 5b3776fe-d443-44a1-bd54-79bac6b20239 | |
dc.identifier | 000266868100012 | |
dc.identifier | 77950341674 | |
dc.identifier.citation | Dobson , S , Coyle , L , O'Hare , G M P & Hinchey , M 2009 , From physical models to well-founded control . in Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems : EASe 2009 . IEEE Computer Society , Los Alamitos , pp. 119-124 . https://doi.org/10.1109/EASe.2009.9 | en |
dc.identifier.isbn | 978-0-7695-3623-1 | |
dc.identifier.other | ORCID: /0000-0001-9633-2103/work/70234167 | |
dc.identifier.uri | https://hdl.handle.net/10023/1130 | |
dc.description.abstract | Mobile sensors are an attractive proposition forenvironmental sensing, but pose significant engineering problems. Not leastamongst these is the need to match the behaviour of the sensor platform to thephysical environment in which it operates. We present initial work on using modelsof physical processes to generate models for autonomic control, and speculatethat these can be used to improve the confidence we can place in sensed data. | |
dc.format.extent | 6 | |
dc.format.extent | 831099 | |
dc.language.iso | eng | |
dc.publisher | IEEE Computer Society | |
dc.relation.ispartof | Proceedings of the Sixth IEEE International Conference and Workshop on the Engineering of Autonomic and Autonomous Systems | en |
dc.subject | Wireless sensor networks | en |
dc.subject | Mobile radio | en |
dc.subject | Autonomic control | en |
dc.subject | Environmental sensing | en |
dc.subject | Mobile sensors | en |
dc.subject | QA76 Computer software | en |
dc.subject.lcc | QA76 | en |
dc.title | From physical models to well-founded control | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1109/EASe.2009.9 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=77950341674&partnerID=8YFLogxK | en |
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