A Bias-Corrected Method for Fractional Linear Parameter Varying Systems

被引：2

作者：

Yakoub, Zaineb ^{[1
]}

Naifar, Omar ^{[2
]}

Amairi, Messaoud ^{[1
]}

Chetoui, Manel ^{[1
]}

Aoun, Mohamed ^{[1
]}

Ben Makhlouf, Abdellatif ^{[3
]}

机构：

[1] Univ Gabes, Natl Engn Sch Gabes, Tunisia Res Lab Modeling Anal & Control Syst MACS, Gabes, Tunisia

[2] Univ Sfax, Natl Sch Engn, Control & Energy Management Lab, Sfax, Tunisia

[3] Jouf Univ, Coll Sci, Dept Math, POB 2014, Sakaka, Saudi Arabia

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷

关键词：

ORDER SYSTEMS; IDENTIFICATION; ALGORITHM; POWER;

D O I：

10.1155/2022/7278157

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes an identification algorithm for the fractional Linear Parameter Varying (LPV) system considering noisy scheduling and output measurements. A bias correction technique is provided in order to compensate for the bias caused by the least squares algorithm. This approach was created to estimate either coefficients or fractional-order differentiation, and it has been proven to produce unbiased and reliable results. The suggested method's performance is assessed by the identification of two fractional models and was compared with Nelder-Mead Simplex method.

引用

页数：14

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