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.

引用

页数：4

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