Anti-Disturbance Compensation for Quadrotor Close Crossing Flight Based on Deep Reinforcement Learning
Author:
Affiliation:
1. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China
2. Department of Electronic Technology, University of Vigo, Vigo, Spain
Funder
National Natural Science Foundation of China
Natural Science Foundation of Heilongjiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9955034/09773012.pdf?arnumber=9773012
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1. Disturbance-Observer-Based Control and Related Methods—An Overview
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5. Saturated Adaptive-Law-Based Backstepping and Its Applications to a Quadrotor Hover
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