Počet záznamů: 1
Model Mixing for Long-Term Extrapolation
- 1.
SYSNO ASEP 0086418 Druh ASEP A - Abstrakt Zařazení RIV Záznam nebyl označen do RIV Zařazení RIV Není vybrán druh dokumentu Název Model Mixing for Long-Term Extrapolation Překlad názvu Míchání modelů pro dlouhodobou extrapolaci Tvůrce(i) Ettler, P. (CZ)
Kárný, Miroslav (UTIA-B) RID, ORCID
Nedoma, Petr (UTIA-B)Zdroj.dok. Proceedings of the 6th EUROSIM Congress on Modelling and Simulation - Vol.1: Book of Abstracts. - Vienna : ARGESIM-ARGE Simulation News, 2007
S. 275-275Poč.str. 1 s. Forma vydání WWW - WWW Akce EUROSIM Congress on Modelling and Simulation /6./ Datum konání 09.09.2007-13.09.2007 Místo konání Ljubljana Země SI - Slovinsko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. AT - Rakousko Klíč. slova Simulation ; Modelling ; Estimation ; Multiple models Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 1ET100750401 GA AV ČR - Akademie věd 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace Reliable extrapolation - simulation or prediction - of system output is an invaluable departure point for the control system design. For application of model-based techniques, the knowledge of the model structure is essential. It can be based purely on the physical point of view or estimated from process data while the system is considered as a "black box". Mixing of both methods results in "grey box" modelling. Often, modelled systems are governed by several known physical laws and each of these laws implies a model, which should match the data. Nevertheless inevitable uncertainties often make simulated outputs of respective models unreliable. The problem is especially pronounced for systems with a significant time delay. This motivates search for methods, which utilize all available models at once and mix their outputs with the aim to get better results. In the paper, four variants of mixing are considered, discussed and their performance compared on industrial data. Seeming alternative -- a simple complex model is discussed as well. Data for experiments came from a cold rolling mill. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2008
Počet záznamů: 1