Comparison of Identification Methods for Dynamical System Models in a Single Chip

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F24%3APU152403" target="_blank" >RIV/00216305:26620/24:PU152403 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/5.0210500" target="_blank" >http://dx.doi.org/10.1063/5.0210500</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0210500" target="_blank" >10.1063/5.0210500</a>

Result language
angličtina
Original language name
Comparison of Identification Methods for Dynamical System Models in a Single Chip
Original language description
In this study, we implement a continuous-time linear time-invariant (LTI) system and validate its properties through system identification. We specifically explore two identification methods: one that relies on utilizing generalized Laguerre functions (GLF) and another that employs the least squares (LS) approach, all within a noisy environment. Our findings reveal a substantial reduction in Root Mean Square (RMS) error when employing the GLF identification method compared to the method utilizing least squares approximation.
Czech name
—
Czech description
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Project
<a href="/en/project/GA19-23815S" target="_blank" >GA19-23815S: Identification of Nonlinear Fractional-Order Dynamical Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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