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

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