Biologically Inspired Social Foraging Swarms Behavior Control in Uncertain Stochastic Noise Environment
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-basedLagrangian 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.
foraging swarm social behavior control individual-based numerical simulations stability
Zhibin Xue Jianchao Zeng
College of Electric & Information Engineering, Lanzhou University of Technology, Lanzhou 730050, Chi College of Electric & Information Engineering, Lanzhou University of Technology, Lanzhou 730050, Chi
国际会议
2008 Sino-European Workshop on Intelligent Robots and Systems(SEIROS08)(第一届中欧智能系统及机器人国际学术研讨会)
重庆
英文
1-5
2008-12-11(万方平台首次上网日期,不代表论文的发表时间)