Multi-Agent Systems with Dynamical Topologies: Consensus and Applications

被引:138
作者
Chen, Yao [1 ]
Lu, Jinhu [2 ]
Yu, Xinghuo [3 ]
Hill, David J. [4 ,5 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[3] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia
[4] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
[5] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
2ND-ORDER CONSENSUS; LYAPUNOV INDICATOR; ADAPTIVE SYNCHRONIZATION; DISTRIBUTED CONSENSUS; CHANGING ENVIRONMENT; SWITCHING TOPOLOGY; NETWORKS; AGENTS; CONVERGENCE; ALGORITHMS;
D O I
10.1109/MCAS.2013.2271443
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
It is well known that a multi-agent system (MAS) is a specific system consisting of multiple interacting autonomous agents. Consensus or synchronization, as one of the typical collective behaviors, is ubiquitous in nature. Over the last decades, consensus has been widely investigated in various disciplines, including mathematics, physics, biology, engineering, and social sciences. In particular, consensus of MAS with dynamical topology is an emerging new topic motivated by many real-world applications, such as wireless communication and sensor networks. However, the collective behavior of MAS with dynamical topology is very complex and cannot be easily analyzed by the traditional approaches. To resolve the issue of dynamical topology, various techniques and methods have been developed in the last decade. This paper aims to review the main advances in the consensus of MAS with dynamical topology, including several fundamental models and the corresponding methods. The main purpose is to promote this emerging topic on multi-agent systems, with emphasis on the interdisciplinary interest from the circuits and systems engineering communities.
引用
收藏
页码:21 / 34
页数:14
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