Aggregation behaviour analysis, modelling and control of anisotropic stochastic swarm systems
by Zhibin Xue, Jianchao Zeng
International Journal of Modelling, Identification and Control (IJMIC), Vol. 10, No. 3/4, 2010

Abstract: The swarm foraging behaviour control scheme of stochastic swarm systems is investigated in this paper, whose agents are moving in n-dimensions Euclidean space with a family of attractant/repellent profile based on artificial potential functions under the m-dimensional standard Gauss white noise jamming. The corresponding M-member 'individual-based' Lagrangian isotropic/anisotropic continuous time social foraging swarms model is proposed. Furthermore, formation control is considered as a special form of swarm aggregation, where the final aggregated form of the swarm is desired to constitute a particular predefined arbitrary polygonal geometrical configuration that is defined by a set of desired inter-agent distance values. Through numerical simulations, the stability and validity of the proposed foraging swarm's behaviour control scheme is illustrated.

Online publication date: Tue, 10-Aug-2010

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