Review on Multi-agent Systems Consensus Control

This review paper focuses on expanding application scenarios of consensus in multi-agent systems (MASs), particularly in smart manufacturing, intelligent transportation, and public safety. It provides a comprehensive analysis of recent methods for solving consensus problem. The paper focuses on various control, including distributed control, optimization-based consensus, event-triggered consensus control, game-theoretic consensus, and novel approaches based on fundamental theoretical research. The paper summarizes the main challenges in achieving consensus and highlights future research directions aimed at overcoming these challenges. By offering a comprehensive overview and analysis, this review paper aims to assist researchers and practitioners in selecting the optimal method for practical applications and fostering further advancements in consensus.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-04-24
DOI
https://doi.org/10.54254/2755-2721/2025.22345
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Review on Multi-agent Systems Consensus Control

Jun Zhao
Applied and Computational Engineering
Mobile Agent-Based Network Management
article

Review on Multi-agent Systems Consensus Control

Jun Zhao
article en

Abstract

This review paper focuses on expanding application scenarios of consensus in multi-agent systems (MASs), particularly in smart manufacturing, intelligent transportation, and public safety. It provides a comprehensive analysis of recent methods for solving consensus problem. The paper focuses on various control, including distributed control, optimization-based consensus, event-triggered consensus control, game-theoretic consensus, and novel approaches based on fundamental theoretical research. The paper summarizes the main challenges in achieving consensus and highlights future research directions aimed at overcoming these challenges. By offering a comprehensive overview and analysis, this review paper aims to assist researchers and practitioners in selecting the optimal method for practical applications and fostering further advancements in consensus.

Applied and Computational EngineeringVol. 139(1)
Northeastern University (CN)
Openalex Percentile: Top 92%
Mobile Agent-Based Network Management
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