System identification method based on interpretable machine learning for unknown aircraft dynamics

An ensemble radius basis function network based on dynamic time warping for real-time monitoring of supersonic inlet flow patterns

(2021) Huan Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Dual-convolutional neural network based aerodynamic prediction and multi-objective optimization of a compact turbine rotor

(2021) Yuqi Wang et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Control Synthesis as Machine Learning Control by Symbolic Regression Methods

(2021) Elizaveta Shmalko et al.   Applied Sciences-Basel

Low-Reynolds-number airfoil design optimization using deep-learning-based tailored airfoil modes

(2021) Jichao Li et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Wind estimation using quadcopter motion: A machine learning approach

(2020) Sam Allison et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Fast pressure distribution prediction of airfoils using deep learning

(2020) Xinyu Hui et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Parameter-correlation study on shock–shock interaction using a machine learning method

(2020) J. Peng et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Real-Time Reentry Trajectory Planning of Hypersonic Vehicles: A Two-Step Strategy Incorporating Fuzzy Multiobjective Transcription and Deep Neural Network

(2019) Runqi Chai et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Nonlinear aircraft system identification using artificial neural networks enhanced by empirical mode decomposition

(2018) Seyed Amin Bagherzadeh   AEROSPACE SCIENCE AND TECHNOLOGY

Disturbance Compensation-Based Piecewise Linear Control Design for Perching Maneuvers

(2018) Zhen He et al.   IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks

(2012) Zheng Yan et al.   IEEE Transactions on Industrial Informatics

Optimization of transition maneuvers through aerodynamic vectoring

(2011) Adnan Maqsood et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Improved Computation for Levenberg–Marquardt Training

(2010) Bogdan M Wilamowski et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Distilling Free-Form Natural Laws from Experimental Data

(2009) Michael Schmidt et al.   SCIENCE