Deep Deterministic Policy Gradient (DDPG) Agent-Based Sliding Mode Control for Quadrotor Attitudes

A novel reinforcement deep learning deterministic policy gradient agent-based sliding mode control (DDPG-SMC) approach is proposed to suppress the chattering phenomenon in attitude control for quadrotors, in the presence of external disturbances. First, the attitude dynamics model of the quadrotor u...

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Bibliographic Details
Main Authors: Wenjun Hu, Yueneng Yang, Zhiyang Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/8/3/95