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.