Parallel Estimation Respecting Constraints of Parametric Models of Cold Rolling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F48361143%3A_____%2F10%3A%230000002" target="_blank" >RIV/48361143:_____/10:#0000002 - isvavai.cz</a>
Result on the web
<a href="http://library.utia.cas.cz/separaty/2010/AS/karny-parallel%20estimation%20respecting%20constraints%20of%20parametric%20models%20of%20cold%20rolling.pdf" target="_blank" >http://library.utia.cas.cz/separaty/2010/AS/karny-parallel%20estimation%20respecting%20constraints%20of%20parametric%20models%20of%20cold%20rolling.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20100802-3-ZA-2014.00007" target="_blank" >10.3182/20100802-3-ZA-2014.00007</a>

Result language
angličtina
Original language name
Parallel Estimation Respecting Constraints of Parametric Models of Cold Rolling
Original language description
Model-based predictors and controllers frequently depend on efficient recursive estimation of model parameters. Similarly often, there are known hard bounds on parameter values. Adaptive control applied for rolling mills represents a typical example of such case. While common estimation algorithms are elaborated enough to be utilized in industrial practice, it is difficult to find implementation of bounded estimation, which is both formally consistent and suitable for reliable applications. Solution offered in this paper is based on simultaneous run of two or more proven estimators different in applied process models. Both simulated and real data examples are provided.
Czech name
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Czech description
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Project
<a href="/en/project/7D09008" target="_blank" >7D09008: Probabilistic Bayesian soft sensor - a tool for on-line estimation of the key process variable in cold rolling mills</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
13th IFAC Symposium on Automation in Mineral, Mining and Metal Processing
ISBN
978-3-902661-73-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
31-36
Publisher name
University of Stellenbosch, South Africa
Place of publication
Cape Town, South Africa
Event location
Cape Town, South Africa
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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