A fuzzy-rule-based Couzin model

被引：9
|
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
收藏
页码：311 / 315
页数：4
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