DocumentCode :
2958023
Title :
Stable flocking of swarms using local information
Author :
Li, Xiaohai ; Xiao, Jizong ; Cai, Zhijun
Author_Institution :
Dept. of Electr. Eng., City Univ. of New York, NY, USA
Volume :
4
fYear :
2005
fDate :
10-12 Oct. 2005
Firstpage :
3921
Abstract :
In this paper, we investigate the mechanism of the phenomena of swarm flocking, which can be widely observed in such as schooling fish and flocking migrate birds in nature. By combining the ideas of virtual force and nearest neighborhood law, we propose a decentralized controller to explain such phenomena. This decentralized controller can enable all swarm members to converge to a common velocity with bounded errors, no matter the swarm topology is fixed or dynamic. The advantage of this controller is that it just needs local information to achieve the stable group behavior. Simulation results are included to verify the proposed controller.
Keywords :
decentralised control; self-adjusting systems; bounded error; decentralized control; fish schooling; local information; migrate bird flocking; nearest neighborhood law; self-organized group behavior; swarm flocking; swarm topology; virtual force; Biological system modeling; Birds; Educational institutions; Force control; Lagrangian functions; Marine animals; Mathematical model; Mechanical engineering; Stochastic processes; Topology; decentralized control; self-organized group behavior; swarms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571758
Filename :
1571758
Link To Document :
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