Supplementary Reinforcement Learning Controller Designed for Quadrotor UAVs

Supplementary Reinforcement Learning Controller Designed for Quadrotor UAVs

The control problem for quadrotor UAVs is difficult and challenging due to the complex nonlinear dynamics and ever-changing disturbances. In this paper, a supplementary controller based on reinforcement learning (RL) is proposed to improve the control performance of quadrotor UAVs. The proposed RL m...

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Bibliographic Details
Main Authors: Xiaobo Lin, Yao Yu, Changyin Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Quadrotor
UAVs
reinforcement learning
ADP
control system
Online Access:https://ieeexplore.ieee.org/document/8651281/

Internet

https://ieeexplore.ieee.org/document/8651281/

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