Machine Learning Approach for Aircraft Performance Model Parameter Estimation for Trajectory Prediction Applications
Author:
Affiliation:
1. Universities Space Research Association,NASA Ames Research Center,CA,USA
2. NASA Ames Research Center,Aviation Systems Division,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311099/10311100/10311271.pdf?arnumber=10311271
Reference20 articles.
1. Learning the aircraft mass and thrust to improve the ground-based trajectory prediction of climbing flights
2. Energy rate prediction using an equivalent thrust setting profile;alligier;ICRAT 2012 5th International Conference on Research in Air Transportation,2012
3. Estimating aircraft drag polar using open flight surveillance data and a stochastic total energy model
4. Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction
5. Validation of an Automated System for Arrival Traffic Management
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