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Research paper | Open Access

A Survey of Multi-Agent Systems on Distributed Formation Control

Yefeng Liu*,Jingjing Liu*Zengpeng He*,Zhenhong LiQichun Zhang§Zhengtao Ding
Liaoning Key Laboratory of Information Physics Fusion and Intelligent Manufacturing for CNC Machine, Shenyang Institute of Technology, Shenfu New District 113122, Fushun, Liaoning, P. R. China
School of Automation and Electrical Engineering, Shenyang Ligong University, No. 6, Nanping Middle Road, Hunnan District, Shenyang City, Liaoning Province 110159, P. R. China
Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UK
Department of Computer Science, University of Bradford, Bradford, U. K.
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, U. K.

This paper was recommended for publication in its revised form by editorial board member, Hao Fang.

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Abstract

Multi-agent formation control is an important part of distributed perception and cooperation, which is convenient to complete various complex tasks and would be a key research direction in the future. This paper reviews the corresponding problems of formation control and the existing centralized and distributed formation control strategies. In particular, we discuss four types of distributed formation control methods based on position and displacement in the global coordinate system and distance and bearing in the nonglobal coordinate system, respectively. Moreover, this paper analyzes affine formation which does not require the global coordinate system. Combined with the current practical applications of multi-agent systems, the latest research for the formation control of the unmanned aerial vehicle (UAV), unmanned ground vehicle (UGV), unmanned surface vehicle (USV) and autonomous underwater vehicle (AUV) is given. Finally, the challenges and opportunities in this burgeoning field are discussed.

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Unmanned Systems
Pages 913-926

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Cite this article:
Liu Y, Liu J, He Z, et al. A Survey of Multi-Agent Systems on Distributed Formation Control. Unmanned Systems, 2024, 12(5): 913-926. https://doi.org/10.1142/S2301385024500274

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Received: 03 November 2022
Revised: 10 March 2023
Accepted: 10 March 2023
Published: 04 May 2023
© The Author(s)

This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.