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Distributed consensus seeking in large-scale hybrid multi-agent systems with two-hop neighbors

Xie Guangqiang
Feng Yanda
Li Yang
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

Consensus in Distributed Multi-Agent Systems (MAS) serves as the fundamental prerequisite for achieving coordinated control. Conventional multi-agent consensus protocols typically utilize one-hop neighborhood information for convergence, where each agent relies solely on limited local information, resulting in slow convergence rates. To address these challenges, this paper proposes a distributed consensus protocol based on two-hop neighbor information. Firstly, the proposed method integrates both one-hop and two-hop neighborhood information as the basis for computing agents' next states, thereby enhancing agents' decision-making capabilities. Secondly, a key neighbor selection method is developed to mitigate potential impacts on computational efficiency and robustness caused by collecting two-hop neighborhood information. Furthermore, a constraint set construction method based on relative nearest-neighbor topology is designed to expand the scope of constraint sets. Finally, through the introduction of convex hull theory and case analysis, the protocol's connectivity and convergence are rigorously proved. Extensive simulation experiments across various topology types demonstrate that the proposed protocol exhibits superior performance under diverse topological configurations, particularly showing significant advantages in large-scale high-density topologies.

Foundation Support

国家自然科学基金资助项目(62006047)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.12.0531
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-04-17] Accepted Paper

Cite This Article

谢光强, 冯衍达, 李杨. 基于二跳邻居的分布式大规模混合多智能体系统一致性协议 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0531. (Xie Guangqiang, Feng Yanda, Li Yang. Distributed consensus seeking in large-scale hybrid multi-agent systems with two-hop neighbors [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0531. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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