bibtype C - Conference Paper (international conference)
ARLID 0361358
utime 20240103195354.1
mtime 20110816235959.9
title (primary) (eng) Adaptive continuous hierarchical model-based decision making
specification
page_count 6 s.
serial
ARLID cav_un_epca*0361357
ISBN 978-989-8425-74-4
title Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics
page_num 284-289
publisher
place Portugalsko
name SciTePress – Science and Technology Publications
year 2011
keyword Bayesian modelling
keyword Hierarchical model
keyword Parameter estimation
author (primary)
ARLID cav_un_auth*0242543
name1 Dedecius
name2 Kamil
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0212695
name1 Ettler
name2 P.
country CZ
source
url http://library.utia.cas.cz/separaty/2011/AS/dedecius-adaptive continuous hierarchical model-based decision making.pdf
cas_special
project
project_id 7D09008
agency GA MŠk
country CZ
ARLID cav_un_auth*0261683
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) 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.
action
ARLID cav_un_auth*0273291
name 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
place Noordwijkerhout
dates 27.07.2011-31.07.2011
country NL
reportyear 2012
RIV BB
num_of_auth 2
permalink http://hdl.handle.net/11104/0198685
arlyear 2011
mrcbU63 cav_un_epca*0361357 Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics 978-989-8425-74-4 284 289 Portugalsko SciTePress – Science and Technology Publications 2011