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Small Noise May Diversify Collective Motion in Vicsek Model
Chen, Ge1,2
2017-02-01
发表期刊IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN0018-9286
卷号62期号:2页码:636-651
摘要Natural systems are inextricably affected by noise. Within recent decades, the manner in which noise affects the collective behavior of self-organized systems, specifically, has garnered considerable interest from researchers and developers in various fields. To describe the collective motion of multiple interacting particles, Vicsek et al. proposed a well-known self-propelled particle (SPP) system, which exhibits a second-order phase transition from disordered to ordered motion in simulation; due to its non-equilibrium, randomness, and strong coupling nonlinear dynamics, however, there has been no rigorous analysis of such a system to date. To decouple systems consisting of deterministic laws and randomness, we propose a general method which transfers the analysis of these systems to the design of cooperative control algorithms. In this study, we rigorously analyzed the original Vicsek model under both open and periodic boundary conditions for the first time, and developed extensions to heterogeneous SPP systems (including leader-follower models) using the proposed method. Theoretical results show that SPP systems switch an infinite number of times between ordered and disordered states for any noise intensity and population density, which implies that the phase transition indeed takes a nontraditional form. We also investigated the robust consensus and connectivity of these systems. Moreover, the findings presented in this paper suggest that our method can be used to predict possible configurations during the evolution of complex systems, including turn, vortex, bifurcation, and flock merger phenomena as they appear in SPP systems.
关键词Collective motion heterogeneous multi-agent system robust consensus self-propelled particles Vicsek model
DOI10.1109/TAC.2016.2560144
语种英语
资助项目National Key Basic Research Program of China (973 program)[2014CB845301/2/3] ; National Natural Science Foundation of China[61203141] ; National Natural Science Foundation of China[91427304]
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000395510600009
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/24722
专题系统科学研究所
通讯作者Chen, Ge
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing 100190, Peoples R China
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Chen, Ge. Small Noise May Diversify Collective Motion in Vicsek Model[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2017,62(2):636-651.
APA Chen, Ge.(2017).Small Noise May Diversify Collective Motion in Vicsek Model.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,62(2),636-651.
MLA Chen, Ge."Small Noise May Diversify Collective Motion in Vicsek Model".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 62.2(2017):636-651.
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