A fuzzy-rule-based Couzin model

被引：10

作者：

Dong H. ^{[1
]}

Zhao Y. ^{[2
]}

Gao S. ^{[1
]}

机构：

[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing

[2] Beijing Corona Science and Technology Co., Ltd., Beijing

来源：

Journal of Control Theory and Applications | 2013年 / 11卷 / 2期

基金：

中国国家自然科学基金;

关键词：

Convergence probability; Couzin model; Flocking; Fuzzy rule; Velocity-adaptive Couzin model;

D O I：

10.1007/s11768-013-1193-0

中图分类号：

学科分类号：

摘要：

This paper proposes a modified Couzin and velocity-adaptive Couzin flocking model based on fuzzy rules. In the models, agents update their positions through a fuzzy-rule-based decision-making scheme in three perception zones. Stability of the systems are guaranteed. Simulations demonstrate that the convergence probability and relative converging size are both improved. © 2013 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

引用

页码：311 / 315

页数：4

共 25 条

[21]

Kuang J., Zhu J., On consensus protocols for high-order multiagent systems, Journal of Control Theory and Applications, 8, 4, pp. 406-412, (2010)

[22]

Reynolds C., Flocks, herds, and schools: a distributed behavior model, Computer Graphics, 21, 4, pp. 25-34, (1987)

[23]

Vicsek T., Czirok A., Novel type of phase transition in a system of self-driven particles, Physical Review Letters, 75, 6, pp. 1226-1229, (1995)

[24]

Couzin I.D., Krause J., James R., Et al., Collective memory and spatial sorting in animal groups, Journal of Theoretical Biology, 218, 1, pp. 1-11, (2002)

[25]

Dong H., Zhao Y., Wu J., Et al., A velocity-adaptive Couzin model and its performance, Physica A, 391, 5, pp. 2145-2153, (2012)

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