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Authors: Kamil Dedecius 1 and Pavel Ettler 2

Affiliations: 1 Academy of Sciences of the Czech Republic, Czech Republic ; 2 COMPUREG Plzeň s.r.o., Czech Republic

ISBN: 978-989-8425-74-4

Keyword(s): Bayesian modelling, Hierarchical model, Parameter estimation, Cold strip rolling, Rolling mills.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Sensors Fusion ; Signal Processing, Sensors, Systems Modeling and Control ; Time Series and System Modeling

Abstract: 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.

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Paper citation in several formats:
Dedecius, K. and Ettler, P. (2011). ADAPTIVE CONTINUOUS HIERARCHICAL MODEL-BASED DECISION MAKING - For Process Modelling with Realistic Requirements.In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-74-4, pages 284-289. DOI: 10.5220/0003533402840289

@conference{icinco11,
author={Kamil Dedecius. and Pavel Ettler.},
title={ADAPTIVE CONTINUOUS HIERARCHICAL MODEL-BASED DECISION MAKING - For Process Modelling with Realistic Requirements},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2011},
pages={284-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003533402840289},
isbn={978-989-8425-74-4},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - ADAPTIVE CONTINUOUS HIERARCHICAL MODEL-BASED DECISION MAKING - For Process Modelling with Realistic Requirements
SN - 978-989-8425-74-4
AU - Dedecius, K.
AU - Ettler, P.
PY - 2011
SP - 284
EP - 289
DO - 10.5220/0003533402840289

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