Regularization regression methods for aerodynamic parameter estimation from flight data

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.

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