Journal article

Accelerating consensus of self-driven swarm via adaptive speed

  • Zhang, Jue Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China
  • Zhao, Yang Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China
  • Tian, Baomei Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China
  • Peng, Liqian Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China
  • Zhang, Hai-Tao Department of Engineering, University of Cambridge, Cambridge, UK - Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
  • Wang, Bing-Hong Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China
  • Zhou, Tao Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, China - Department of Physics, University of Fribourg, Switzerland
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    07.12.2008
Published in:
  • Physica A: Statistical Mechanics and its Applications. - 2009, vol. 3888, no. 7, p. 1237-1242
English In recent years, the well-developed Vicsek model has attracted more and more attention. Unfortunately, in-depth research on its convergence speed is not yet completed. In this paper, we investigate some key factors governing the convergence speed of the Vicsek model with the assistance of extensive numerical simulations. A significant phenomenon surfaces that the convergence time scales obeys a power law with r²lnN, with r and N being the horizon radius and the number of particles, respectively. To further accelerate the convergence procedure, we propose a kind of improved Vicsek model with self-driven particles governed by variational speeds, which can remarkably shorten the convergence time of the standard Vicsek model.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
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Persistent URL
https://folia.unifr.ch/unifr/documents/301305
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