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TŮMA, M.; KÁRSKÝ, V.; JURA, P.
Original Title
Comparison of Identification Methods for Dynamical System Models in a Single Chip
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
continuous LTI system, identification, generalized Laguerre functions
Key words in English
Authors
RIV year
2025
Released
07.06.2024
Publisher
AMER INST PHYSICS
Location
MELVILLE
ISBN
978-07-3544-954-1
Book
AIP Conference Proceedings
0094-243X
Periodical
AIP conference proceedings
Volume
3094
State
United States of America
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT189928, author="Martin {Tůma} and Vilém {Kárský} and Pavel {Jura}", title="Comparison of Identification Methods for Dynamical System Models in a Single Chip", booktitle="AIP Conference Proceedings", year="2024", journal="AIP conference proceedings", volume="3094", pages="1--4", publisher="AMER INST PHYSICS", address="MELVILLE", doi="10.1063/5.0210500", isbn="978-07-3544-954-1", issn="0094-243X" }