System identification in frequency domain using wavelets: Conceptual remarks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195004" target="_blank" >RIV/68407700:21230/12:00195004 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.sciencedirect.com/science/article/pii/S0167691112001375" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0167691112001375</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sysconle.2012.07.004" target="_blank" >10.1016/j.sysconle.2012.07.004</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
System identification in frequency domain using wavelets: Conceptual remarks
Popis výsledku v původním jazyce
Model identification plays a central role in any activity associated with process operations. With control being done on different levels, different models are required for the same plant, each for a different range of dynamics. Besides that most identification methods apply to the linear models, they also do not allow for selecting a frequency range. Wavelet-based methods have the intrinsic ability to select time and frequency windows, and, to some extent, are also applicable to non-linear processes. The paper presents an approach, in which the wavelet transform is employed for system identification enabling the selection of the particular frequency range of interest. We will show the use of some wavelet filters with a property of superior selectivityin the frequency domain and having compact support in the time domain, which, in turn, influences an accurate implementation. These properties provide us with a possibility of the measured data analysis in the frequency domain without an
Název v anglickém jazyce
System identification in frequency domain using wavelets: Conceptual remarks
Popis výsledku anglicky
Model identification plays a central role in any activity associated with process operations. With control being done on different levels, different models are required for the same plant, each for a different range of dynamics. Besides that most identification methods apply to the linear models, they also do not allow for selecting a frequency range. Wavelet-based methods have the intrinsic ability to select time and frequency windows, and, to some extent, are also applicable to non-linear processes. The paper presents an approach, in which the wavelet transform is employed for system identification enabling the selection of the particular frequency range of interest. We will show the use of some wavelet filters with a property of superior selectivityin the frequency domain and having compact support in the time domain, which, in turn, influences an accurate implementation. These properties provide us with a possibility of the measured data analysis in the frequency domain without an
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/FR-TI1%2F517" target="_blank" >FR-TI1/517: *Řídicí systémy pro optimalizaci spotřeby energie v nízkoenergetických a pasivních domech</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Systems & Control Letters
ISSN
0167-6911
e-ISSN
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Svazek periodika
61
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
11
Strana od-do
1041-1051
Kód UT WoS článku
000309628000011
EID výsledku v databázi Scopus
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