A Practical Approach to Grey-box Model Identification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00182577" target="_blank" >RIV/68407700:21230/11:00182577 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
A Practical Approach to Grey-box Model Identification
Original language description
Today's computing power can provide a way how to fit physically well founded models to a given experimental data. The combination of user's subjective information and objective data (grey-box modeling) is especially profitable when obtaining sufficientlyexcited data is impracticable or costly. This is typical in the industrial practice. However a simple prediction error fitting scheme can results in poor estimate of parameters. In this article, a new method how to improve parameters estimate to be relevant in commissioning model predictive control, is proposed. The method is derived on the base of maximum likelihood estimation and demonstrated using a practical application.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA102%2F08%2F0442" target="_blank" >GA102/08/0442: Feasible approximations of dual control strategies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th IFAC World Congress, 2011
ISBN
978-3-902661-93-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
10776-10781
Publisher name
IFAC
Place of publication
Bologna
Event location
Milano
Event date
Aug 28, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)