Biologically Inspired Social Foraging Swarms Behavior Control in Uncertain Stochastic Noise Environment

摘要

In this paper we consider the foraging behavior control scheme of swarms whose agents are moving in ndimensions Euclidean space with a family of attractant/repellent profile based on artificial potential functions under the mdimensional standard Gauss white noise jamming. Meanwhile, the corresponding M-member “individual-based”Lagrangian isotropic/anisotropic continuous time social foraging swarms model is proposed in this article. Through numerical simulations, the stability and validity of the proposed-foraging swarms behavior control scheme is illustrated.