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.
Authors
- Jun Zhao (ORCID: https://orcid.org/0000-0001-8549-5783)
Institutions
- Northeastern University (CN)
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