DocumentCode :
2499003
Title :
Research on global consensus problem of scalable swarm system
Author :
Chen, Shiming ; Zhu, Qixin ; Pei, Huiqin
Author_Institution :
Sch. of Electr. & Electron. Eng., East China JiaoTong Univ., Nanchang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
8030
Lastpage :
8034
Abstract :
In this paper we study the consensus problem of scalable swarm system. We have proposed the two-layer emergent model of scalable swarm system in which the first layer we called individual neighbor layer describes the individual flocking behavior to its local goal position, and the second swarm layer describes the emergent aggregating behavior of swarm system. Here we extend the work to specify the global consensus problem of the swarm model based on Lyapunov stability theory, and study the fault-tolerance ability of the scalable swarming behavior.
Keywords :
Lyapunov methods; artificial intelligence; fault tolerance; stability; Lyapunov stability theory; fault-tolerance ability; global consensus problem; individual flocking behavior; scalable swarm system; two-layer emergent model; Automation; Electronic mail; Fault tolerance; Intelligent control; Lyapunov method; consensus problem; fault-tolerance analysis; scalable swarm model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594184
Filename :
4594184
Link To Document :
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