Knowledge Elicitation Via Extension of Fragmental Knowledge Pieces

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00328657" target="_blank" >RIV/67985556:_____/09:00328657 - 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
Knowledge Elicitation Via Extension of Fragmental Knowledge Pieces
Original language description
The paper describes an advanced methodology of automatic knowledge elicitation. It merges fragmental uncertain knowledge pieces into the prior distribution of unknown parameter of a probabilistic model of a dynamic system. Careful knowledge elicitation helps in achieving as bump-less start of model-based controllers as possible. It is also important when observed data are poorly informative, which is a typical situation in closed control loops. Rigorous use of the Bayesian paradigm to the knowledge elicitation forms the essence of the methodology. Unlike former solutions, it can handle fragmental and incompletely compatible knowledge pieces in a systematic way. The description of the methodology dominates the paper and just an illustrative example is presented.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F08%2F0567" target="_blank" >GA102/08/0567: Fully probabilistic design of dynamic decision strategies</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the European Control Conference 2009
ISBN
978-963-311-369-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
European Union Control Association
Place of publication
Budapest
Event location
Budapest
Event date
Aug 23, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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