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Author Yao Chen ♦ Jinhu Lu ♦ Xinghuo Yu ♦ Hill, D.J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Physics ♦ Electricity & electronics
Subject Keyword Multi-agent systems ♦ Network topolgy ♦ Robot sensing systems ♦ Heuristic algorithms ♦ Biological system modeling ♦ Integrated circuit modeling ♦ Synchronization
Abstract 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.
Description Author affiliation :: Inst. of Syst. Sci., Acad. of Math. & Syst. Sci., Beijing, China
Author affiliation :: Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
Author affiliation :: Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Author affiliation :: Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
ISSN 1531636X
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-01-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 13
Issue Number 3
Size (in Bytes) 3.27 MB
Page Count 14
Starting Page 21
Ending Page 34


Source: IEEE Xplore Digital Library