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Adaptive continuous hierarchical model-based decision making

SYSNO ASEP	0361358
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Adaptive continuous hierarchical model-based decision making
Author(s)	Dedecius, Kamil (UTIA-B)_{RID, ORCID} Ettler, P. (CZ)
Number of authors	2
Source Title	Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics. - Portugalsko : SciTePress – Science and Technology Publications, 2011 - ISBN 978-989-8425-74-4
Pages	s. 284-289
Number of pages	6 s.
Action	8th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
Event date	27.07.2011-31.07.2011
VEvent location	Noordwijkerhout
Country	NL - Netherlands
Event type	WRD
Language	eng - English
Country	PT - Portugal
Keywords	Bayesian modelling ; Hierarchical model ; Parameter estimation
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	7D09008 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1