Deviation Detection in Distributed Control Systems by Means of Statistical Methods

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Deviation Detection in Distributed Control Systems by Means of Statistical Methods

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Deviation Detection in Distributed Control Systems by Means of Statistical Methods

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

4709-4714

Název nakladatele

École Polytechnique

Místo vydání

Québec

Místo konání akce

Montreal

Datum konání akce

25. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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