Journal article

Consensus of self-driven agents with avoidance of collisions

  • Peng, Liqian Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
  • Zhao, Yang Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
  • Tian, Baomei Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
  • Zhang, Jue Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
  • Wang, Bing-Hong Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Research Center for Complex System Science, University of Shanghai for Science and Technology, China
  • Zhang, Hai-Tao Department of Control Science and Technology, Huazhong University of Science and Technology, Wuhan, China - Department of Engineering, University of Cambridge, UK
  • Zhou, Tao Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Research Center for Complex System Science, University of Shanghai for Science and Technology, China - Department of Physics, University of Fribourg, Switzerland
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    27.02.2009
Published in:
  • Physical Review E. - 2009, vol. 79, no. 2, p. 026113
English In recent years, many efforts have been addressed on collision avoidance of collectively moving agents. In this paper, we propose a modified version of the Vicsek model with adaptive speed, which can guarantee the absence of collisions. However, this strategy leads to an aggregated state with slowly moving agents. We therefore further add a certain repulsion, which results in both faster consensus and longer safe distance among agents, and thus provides a powerful mechanism for collective motions in biological and technological multiagent systems.
Faculty
Faculté des sciences et de médecine
Department
Département de Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/301085
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