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Self-organized motion in anisotropic swarms
作者姓名:Tianguang CHU  Long WANG  Tongwen CHEN
作者单位:1. Intelligent Control Laboratory,Center for Systems and Control,Department of Mechanics and Engineering Science,Peking University,Beijing 100871 .China; 2. Department of Electrical and Computer Engineering,University of Alberta,Edmonton,Alberta T6G 2V4,Canada
基金项目:ThisworkwassupportedbytheNationalNaturalScienceFoundationofChina(No.60274001andNo.10372002) theNationalKeyBasicResearchandDevelopmentProgram(No.2002CB312200).
摘    要:This paper considers an anisotropic swarm model with a class of attraction and repulsion functions. It is shown that the members of the swarm will aggregate and eventually form a cohesive cluster of finite size around the swarm center. Moreover, It is also proved that under certain conditions, the swarm system can be completely stable, i.e., every solution converges to the equilibrium points of the system. The model and results of this paper extend a recent work on isotropic swarms to more general cases and provide further insight into the effect of the interaction pattern on self-organized motion in a swarm system.


Self-organized motion in anisotropic swarms
Tianguang CHU,Long WANG,Tongwen CHEN.Self-organized motion in anisotropic swarms[J].Journal of Control Theory and Applications,2003,1(1):77-81.
Authors:Tianguang CHU  Long WANG  Tongwen CHEN
Affiliation:1. Intelligent Control Laboratory, Center for Systems and Control,Department of Mechanics and Engineering Science, Peking University, Beijing 100871, China
2. Departent of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta T6G 2V4, Canada
Abstract:This paper considers an anisotropic swarm model with a class of attraction and repulsion functions. It is shown that the members of the swarm will aggregate and eventually form a cohesive cluster of finite size around the swarm center. Moreover, It is also proved that under certain conditions, the swarm system can be completely stable, i.e., every solution converges to the equilibrium points of the system. The model and results of this paper extend a recent work on isotropic swarms to more general cases and provide further insight into the effect of the interaction pattern on self-organized motion in a swarm system.
Keywords:Biological systems  Multiagent systems  Pattern formation  Stability  Swarms
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