quotation:		[Copy]
		Hairong DONG,Yan ZHAO,Shigen GAO.[en_title][J].Control Theory and Technology,2013,11(2):311~315.[Copy]

This Paper:Browse 1480 Download 69	码上扫一扫！

HairongDONG,YanZHAO,ShigenGAO
0 Fontlarge +\|Default\|Small
(State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University;Beijing Corona Science & Technology Co., Ltd.)

摘要:

关键词:

DOI：

Received:September 20, 2011Revised:January 06, 2012

基金项目:This work was supported by the National Natural Science Foundation of China (No. 61233001), the Fundamental Research Funds for Central Universities (No. 2013JBZ007), and the Beijing Jiaotong University Research Program (No. RCS2012ZZ003).

A fuzzy-rule-based Couzin model

Hairong DONG,Yan ZHAO,Shigen GAO

(State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University;Beijing Corona Science & Technology Co., Ltd.)

Abstract:

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.

Key words: Couzin model Velocity-adaptive Couzin model Flocking Fuzzy rule Convergence probability