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A NUMERICAL STUDY OF THE STOCHASTIC CUCKER-SMALE FLOCKING MODEL

机译:随机划花筒 - 气味植绒模型的数值研究

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We consider the influence of white noise on achieving consensus in a stochastic version of the well known Cucker-Smale model for flocking in multi-agent swarm systems. Our main results based on extensive numerical simulations suggest that while low intensity white noise has little appreciable effects on convergence to consensus in the system, the presence of high intensity white noise can fundamentally alter the flocking characteristics of the model. In particular, our results indicate that the numerical upper bound on a critical system parameter value that guarantees flocking in the deterministic model is no longer valid in the presence of high intensity white noise. In addition, the results also suggest that, interestingly, the influence of noise is independent of the number of agents in the swarm. Finally, we suggest a novel approach using the classical Fokker-Planck formalism as a direction of further analytical work aimed at validating our numerical results.
机译:我们考虑白噪声对众所周知的Cucker - 气味模型的随机版植入植入的影响,以便在多助手群系统中植入。我们基于广泛数值模拟的主要结果表明,虽然低强度白噪声对系统中的共识收敛几乎没有明显影响,但高强度白噪声的存在可以从根本上改变模型的植绒特性。特别是,我们的结果表明,在确定性模型中保证蜂拥而至的关键系统参数值的数值上限在高强度白噪声的存在下不再有效。此外,结果还表明,有趣的是,噪声的影响与群体中的代理人数无关。最后,我们建议使用古典Fokker-Planck形式主义作为进一步分析工作的方向的新方法,旨在验证我们的数值结果。

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