Identification of the gray-box model with practical applications in industry and energy

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00203850" target="_blank" >RIV/68407700:21230/09:00203850 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Identification of the gray-box model with practical applications in industry and energy
Original language description
The problem of estimating parameters of linear models from noisy time series measurements of continuous dynamical systems with multiple inputs and multiple outputs is considered. Additional prior information (grey box) is used to improve quality of the estimate, which can be useful, when obtaining sufficiently excited input/output experimetal data is impracticable or costly. The problem is solved with respect to optimal multistep prediction for better performance in advanced control (model predictive control). This leads to a nonconvex numerical optimization, where the solver can easily run out in one of the many local extremes. Two approaches, how to improve the convergence, are introduced. Finally an example of identification, based on real power plant data, is presented.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 5th International Scientific Symposium on Electric Power Engineering ELEKTROENERGETIKA 2009
ISBN
978-80-553-0401-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
419-423
Publisher name
TU Košice, FEI
Place of publication
Košice
Event location
Stará Lesná
Event date
Sep 23, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000291630600087

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