Regularization regression methods for aerodynamic parameter estimation from flight data

被引：0

作者：

Kumar, Ajit ^{[1
,2
]}

Ghosh, A. K. ^{[2
]}

机构：

[1] DLR, Inst Flight Syst, Braunschweig, Germany

[2] IITRAM, Dept Mech & Aerosp Engn, Ahmadabad, India

来源：

AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY | 2023年 / 95卷 / 05期

关键词：

Aerodynamic parameter; Regularized regression methods; LASSO; Ridge; Elastic net; Flight dynamics; SELECTION;

D O I：

10.1108/AEAT-09-2019-0179

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

PurposeThe purpose of this study is to estimate aerodynamic parameters using regularized regression-based methods. Design/methodology/approachRegularized regression methods used are LASSO, ridge and elastic net. FindingsA viable option of aerodynamic parameter estimation from regularized regression-based methods is found. Practical implicationsEfficacy of the methods is examined on flight test data. Originality/valueThis study provides regularized regression-based methods for aerodynamic parameter estimation from the flight test data.

引用

页码：820 / 830

页数：11

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