Deviation Detection in Distributed Control Systems by Means of Statistical Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200050" target="_blank" >RIV/68407700:21230/12:00200050 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Deviation Detection in Distributed Control Systems by Means of Statistical Methods
Original language description
Multi-agent systems have done long journey on their way to become a mature paradigm for solving dynamical tasks with distributed merit. There are many successful applications proving benefits of this methodology. However, future expansion of multi-agenttechnology requires development of appropriate assistive tools. One of the most important is a diagnostic framework that is capable to detect deviations from intended behaviour. The proposed concept of model-based diagnostic framework is able to build stochastic model of a diagnosed system from observed events and interactions among agents within a community. Such a model is then used to evaluate likelihood of observed event sequences in runtime.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society
ISBN
978-1-4673-2420-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
4709-4714
Publisher name
École Polytechnique
Place of publication
Québec
Event location
Montreal
Event date
Oct 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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