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

被引：0
|
作者：
Tuma, Martin [1 ]
Karsky, Vilem [1 ,2 ]
Jura, Pavel [1 ,2 ]
机构：
[1] Brno Univ Technol, Cent European Inst Technol, CEITEC BUT, Tech 12, Brno 61600, Czech Republic
[2] Brno Univ Technol, Fac Elect Engn & Commun, Dept Control & Instrumentat, Tech 12, Brno 61600, Czech Republic
来源：
INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2022, ICNAAM-2022 | 2024年 / 3094卷
关键词：
D O I：
10.1063/5.0210500
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
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.
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页数：4
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