Regularization regression methods for aerodynamic parameter estimation from flight data
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 11 January 2023
Issue publication date: 27 March 2023
Abstract
Purpose
The purpose of this study is to estimate aerodynamic parameters using regularized regression-based methods.
Design/methodology/approach
Regularized regression methods used are LASSO, ridge and elastic net.
Findings
A viable option of aerodynamic parameter estimation from regularized regression-based methods is found.
Practical implications
Efficacy of the methods is examined on flight test data.
Originality/value
This study provides regularized regression-based methods for aerodynamic parameter estimation from the flight test data.
Keywords
Citation
Kumar, A. and Ghosh, A.K. (2023), "Regularization regression methods for aerodynamic parameter estimation from flight data", Aircraft Engineering and Aerospace Technology, Vol. 95 No. 5, pp. 820-830. https://doi.org/10.1108/AEAT-09-2019-0179
Publisher
:Emerald Publishing Limited
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