@inproceedings{d5a08b214288418d8deb8d4852252ab4,
title = "Optimal formation control for a quadrotor team under switching topologies via reinforcement learning",
abstract = "This paper investigates the formation control problem of a quadrotor team subject to unknown nonlinear dynamics and switching topologies. A hierarchical controller including a position controller and an attitude controller is proposed based on the reinforcement learning approach without knowledge of the vehicle dynamics. Simulation results of a quadrotor team are given to shown the effectiveness of the proposed controller.",
keywords = "Formation control, Nonlinear system, Quadrotor, Reinforcement learning, Switching topology",
author = "Hao Liu and Wanbing Zhao and Jianxiang Xi",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021 ; Conference date: 10-05-2021 Through 13-05-2021",
year = "2021",
month = may,
day = "10",
doi = "10.1109/ICPS49255.2021.9468221",
language = "英语",
series = "Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "731--736",
booktitle = "Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021",
address = "美国",
}