Modelling, analysis and control of multi-agent systems: A brief overview

Jinhu Lu, Guanrong Chen, Xinghuo Yu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

22 Citations (Scopus)

Abstract

Multi-agent systems are ubiquitous in the world. Recently, multi-agent systems have received increasing attention from mathematics, physics, engineering sciences, and social science communities. This paper firstly introduces several fundamental concepts and then reviews several representative models of multi-agent systems, including the Boids model, Vicsek model, Couzin-Levin model and its invariants, and various complex dynamical networks. Based on these models, it further investigates the dynamical behaviors of multi-agent systems, such as consensus, convergence, adaptation, and consensus decision-making. Moreover, it briefly reviews the main progress in the control of multi-agent systems. Finally, it looks ahead into some important research topics on multi-agent systems, with regard to modelling, analysis, and control. © 2011 IEEE.
Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages2103-2106
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011) - Rio de Janeiro, Brazil
Duration: 15 May 201118 May 2011

Publication series

Name
ISSN (Print)0271-4310

Conference

Conference2011 IEEE International Symposium of Circuits and Systems (ISCAS 2011)
Abbreviated titleISCAS 2011
PlaceBrazil
CityRio de Janeiro
Period15/05/1118/05/11

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