DocumentCode
2073944
Title
Globally Asymptotically Stable for Exponential Type Stochastic Swarms
Author
Xue, Zhibin ; Zeng, Jianchao
Author_Institution
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
603
Lastpage
607
Abstract
A novel Lagrangian ¿individual-based¿ isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by stability theoretical analysis and numerical simulation. Stability analysis and numerical simulations results further indicate that the individual members living in group during the course of coordinative motion can realize the mutual aggregating behavior, the motion of each individual member is a combination of the inter-individual interactions, meanwhile, which are also presented to demonstrate the effectiveness of our model. The attraction/repulsion function is odd, so the attractive force and repulsion force taking effect in opposite direction that leads to aggregation behavior. Moreover, numerical simulation results of globally asymptotically stability analysis also verify the capability of the proposed relevant theories.
Keywords
asymptotic stability; numerical analysis; optimisation; stochastic systems; asymptotically stability; attraction function; coordinative motion; exponential globally asymptotically stable; n-dimensional Euclidean space; numerical simulations; repulsion function; stochastic swarms; Animal behavior; Biological system modeling; Chemical technology; Educational institutions; Intelligent robots; Marine animals; Numerical simulation; Particle swarm optimization; Stability analysis; Stochastic processes; Aggregation; Globally asymptotically stable; Isotropic; Stability; Stochastic swarms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6325-1
Electronic_ISBN
978-1-4244-6326-8
Type
conf
DOI
10.1109/ISISE.2009.84
Filename
5447335
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