Hybrid Reinforcement Learning Control for a Micro Quadrotor Flight-Reference-Cited by-同舟云学术

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Hybrid Reinforcement Learning Control for a Micro Quadrotor Flight

Published:2021-04 Issue:2 Volume:5 Page:505-510
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Yoo Jaehyun^ORCID,Jang Dohyun^ORCID,Kim H. Jin^ORCID,Johansson Karl H.^ORCID

Funder

Agency for Defense Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7782633/9129881/09114884.pdf?arnumber=9114884

Cited by 36 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. Hybrid model-based and data-driven disturbance prediction for precise quadrotor trajectory tracking;Engineering Applications of Artificial Intelligence;2024-10

2. Learning-Based Design of Off-Policy Gaussian Controllers: Integrating Model Predictive Control and Gaussian Process Regression;2024 American Control Conference (ACC);2024-07-10

3. Enhancing Quadcopter Autonomy: Implementing Advanced Control Strategies and Intelligent Trajectory Planning;Automation;2024-06-14

4. High-Speed Trajectory Tracking Control for Quadrotors via Deep Reinforcement Learning;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

5. Adaptive PID Control of Furnace Temperature in MSWI Process Based on Reinforcement Learning;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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