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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
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Series: | Drones |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-446X/8/3/95 |