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
收藏
页码：820 / 830
页数：11
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