Diagnostics of Distributed Intelligent Control Systems: Reasoning using Ontologies and Hidden Markov Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194499" target="_blank" >RIV/68407700:21230/12:00194499 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3182/20120523-3-RO-2023.00124" target="_blank" >http://dx.doi.org/10.3182/20120523-3-RO-2023.00124</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3182/20120523-3-RO-2023.00124" target="_blank" >10.3182/20120523-3-RO-2023.00124</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Diagnostics of Distributed Intelligent Control Systems: Reasoning using Ontologies and Hidden Markov Models

Popis výsledku v původním jazyce

The distributed intelligent control systems based on multi-agent systems paradigm bring many important features, including their flexibility and extensibility. These features are even more apparent when the agents use ontologies as a base for their knowledge management - such ontologies can be regarded as models that to some degree drive the operation of the system. However, much of the information from knowledge bases of agents can be used also for other important ability of a control system - the diagnostics. In this paper, we demonstrate and discuss two approaches to diagnostics - one based on description logic reasoning and the other one based on Hidden Markov Models. Both of these approaches are illustrated on sample scenario from a transportationsystem.

Název v anglickém jazyce

Diagnostics of Distributed Intelligent Control Systems: Reasoning using Ontologies and Hidden Markov Models

Popis výsledku anglicky

The distributed intelligent control systems based on multi-agent systems paradigm bring many important features, including their flexibility and extensibility. These features are even more apparent when the agents use ontologies as a base for their knowledge management - such ontologies can be regarded as models that to some degree drive the operation of the system. However, much of the information from knowledge bases of agents can be used also for other important ability of a control system - the diagnostics. In this paper, we demonstrate and discuss two approaches to diagnostics - one based on description logic reasoning and the other one based on Hidden Markov Models. Both of these approaches are illustrated on sample scenario from a transportationsystem.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>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 14th IFAC Symposium on Information Control Problems in Manufacturing

ISBN

978-3-902661-98-2

ISSN

1474-6670

e-ISSN

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Počet stran výsledku

6

Strana od-do

1315-1320

Název nakladatele

IFAC

Místo vydání

Budapest

Místo konání akce

Bucharest

Datum konání akce

23. 5. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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