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Statements

Subject Item
n2:RIV%2F48361143%3A_____%2F11%3A%230000006%21RIV12-MSM-48361143
rdf:type
skos:Concept n9:Vysledek
rdfs:seeAlso
http://library.utia.cas.cz/separaty/2011/AS/dedecius-adaptive%20continuous%20hierarchical%20model-based%20decision%20making.pdf
dcterms:description
Industrial model-based control often relies on parametric models. However, for certain operational conditions either the precise underlying physical model is not available or the lack of relevant or reliable data prevents its use. A popular approach is to employ the black box or grey box models, releasing the theoretical rigor. This leads to several candidate models being at disposal, from which the (often subjectively) prominent one is selected. However, in the presence of model uncertainty, we propose to benefit from a subset of credible models. The idea behind the multimodelling approach is closely related to hierarchical modelling methodology. By using several modelling levels, it is possible to achieve relatively high quality and robust solution, providing a way around typical constraints in industrial applications. Industrial model-based control often relies on parametric models. However, for certain operational conditions either the precise underlying physical model is not available or the lack of relevant or reliable data prevents its use. A popular approach is to employ the black box or grey box models, releasing the theoretical rigor. This leads to several candidate models being at disposal, from which the (often subjectively) prominent one is selected. However, in the presence of model uncertainty, we propose to benefit from a subset of credible models. The idea behind the multimodelling approach is closely related to hierarchical modelling methodology. By using several modelling levels, it is possible to achieve relatively high quality and robust solution, providing a way around typical constraints in industrial applications.
dcterms:title
Adaptive Continuous Hierarchical Model-Based Decision Making for process modelling with realistic requirements Adaptive Continuous Hierarchical Model-Based Decision Making for process modelling with realistic requirements
skos:prefLabel
Adaptive Continuous Hierarchical Model-Based Decision Making for process modelling with realistic requirements Adaptive Continuous Hierarchical Model-Based Decision Making for process modelling with realistic requirements
skos:notation
RIV/48361143:_____/11:#0000006!RIV12-MSM-48361143
n9:predkladatel
n10:ico%3A48361143
n3:aktivita
n19:P
n3:aktivity
P(7D09008)
n3:dodaniDat
n14:2012
n3:domaciTvurceVysledku
n12:2692139 n12:2092298
n3:druhVysledku
n22:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
184580
n3:idVysledku
RIV/48361143:_____/11:#0000006
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Bayesian modelling; hierarchical model; parameter estimation; cold strip rolling; rolling mills
n3:klicoveSlovo
n16:Bayesian%20modelling n16:rolling%20mills n16:parameter%20estimation n16:hierarchical%20model n16:cold%20strip%20rolling
n3:kontrolniKodProRIV
[FBEE55AA8333]
n3:mistoKonaniAkce
Noordwijkerhout, The Netherlands
n3:mistoVydani
Portugalsko
n3:nazevZdroje
8th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2011
n3:obor
n17:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n21:7D09008
n3:rokUplatneniVysledku
n14:2011
n3:tvurceVysledku
Dedecius, Kamil Ettler, Pavel
n3:typAkce
n7:WRD
n3:zahajeniAkce
2011-01-01+01:00
s:numberOfPages
6
n13:hasPublisher
SciTePress – Science and Technology Publications
n8:isbn
978-989-8425-74-4