Two-Stage Strategy to Achieve a Reinforcement Learning-Based Upset Recovery Policy for Aircraft-Reference-Cited by-同舟云学术

Two-Stage Strategy to Achieve a Reinforcement Learning-Based Upset Recovery Policy for Aircraft

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
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Author:

Cao Huanhui¹,Zeng Weifeng¹,Jiang Hantao¹,Hu Hao¹,Li Chaoran¹,Lu Wenjie¹,Xiong Hao¹

Affiliation:

1. Harbin Institute of Technology,School of Mechanical Engineering and Automation,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727381.pdf?arnumber=9727381

Reference19 articles.

1. A review and historical development of analytical techniques to predict aircraft spin and recovery characteristics

2. Optimal aircraft control upset recovery with and without component failures

3. Automatic Spin Recovery with Minimal Altitude Loss

4. Addressing Function Approximation Error in Actor-Critic Methods;fujimoto;Proceedings of the 35th International Conference on Machine Learning Volume 80 of Proceedings of Machine Learning Research,2018

5. Multiobjective Reinforcement Learning: A Comprehensive Overview

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