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

[11]

Olfati S.R., Hocking for multi-agent dynamic systemsalgorithms and theory, IEEE Transations on Automatic Control, 51, 3, pp. 401-420, (2006)

[12]

Su H., Wang X., Second-order consensus of multiple agents with coupling delay, The 7th World Congress on Intelligent Control and Automation, Chongqing, pp. 7181-7186, (2008)

[13]

Li Z., Jia Y., Flocking for swarm systems with fixed topology in a changing environment, Journal of Control Theory and Applications, 6, 3, pp. 333-339, (2008)

[14]

Shi H., Wand L., Chu T., Swarming behavior of multi-agent systems, Journal of Control Theory and Applications, 2, 4, pp. 313-318, (2004)

[15]

Chu T., Wang L., Chen T., Self-organized motion in anisotropic swarms, Journal of Control Theory and Applications, 1, 1, pp. 77-81, (2003)

[16]

Jadbabale A., Hn J., Morse A.S., Coordination of groups of mobile autonomous agents using nearest neighbor rules, IEEE Transactions on Automatic Control, 48, 6, pp. 988-1001, (2003)

[17]

Gazi V., Passino K.M., Stability analysis of social foraging swarlns, IEEE Transations on SystemsManand Cybernetics - Part B: Cybernetics, 34, 1, pp. 539-556, (2004)

[18]

Zhang S., Duan G., Consensus seeking in multiagent cooperative control systems with bounded control input, Journal of Control Theory and Applications, 9, 2, pp. 210-214, (2011)

[19]

Yan J., Guan X., Luo X., Et al., Formation and obstacle avoidance control for multiagent systems, Journal of Control Theory and Applications, 9, 2, pp. 141-147, (2011)

[20]

Lu Y., Guo Y., Dong Z., Multiagent flocking with formation in a constrained environment, Journal of Control Theory and Applications, 8, 2, pp. 151-159, (2010)

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