Methodology Development of a Free-Flight Parameter Estimation Technique Using Physics-Informed Neural Networks-Reference-Cited by-同舟云学术

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Methodology Development of a Free-Flight Parameter Estimation Technique Using Physics-Informed Neural Networks

Published:2023-03-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Aerospace Conference
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Author:

Michek Nathaniel¹,Mehta Piyush¹,Huebsch Wade¹

Affiliation:

1. West Virginia University,Department of Mechanical and Aerospace Engineering,Morgantown,WV26505

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115728.pdf?arnumber=10115728

Reference44 articles.

1. Approximation capabilities of multilayer feedforward networks

2. Automatic differentiation in machine learning: a survey;baydin;The Journal of Machine Learning Research,2018

3. Efficient Global Aerodynamic Modeling from Flight Data

4. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

5. Estimation of aerodynamic coefficients using neural networks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flight Dynamic Uncertainty Quantification Modeling Using Physics-Informed Neural Networks;AIAA J;2024

2. Identification of Aerodynamic Parameters Using Improved Physics-Informed Neural Network Framework;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11

3. Flight Dynamic Uncertainty Quantification Modeling Using Physics-Informed Neural Networks;AIAA SCITECH 2024 Forum;2024-01-04

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