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International Conference on Swarm Intelligence

ICSI 2017: Advances in Swarm Intelligence pp 31–39Cite as

Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10385))

Abstract

Both the original Cucker-Smale flocking model and a more recent version with collision avoidance do not have any control over how tightly the system of agents flock, which is measured by the flock diameter. In this paper, a cohesive force is introduced to potentially reduce the flock diameter. This cohesive force is similar to the repelling force used for collision avoidance. Simulation results show that this cohesive force can reduce or control the flock diameter. Furthermore, we show that for any set of model parameters, the cohesive force coefficient is the single determining factor of this diameter. The ability of this modified collision-avoiding Cucker-Smale model to provide control of the flock diameter could have significance when applied to robotic flocks.

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Author information

Authors and Affiliations

  1. Department of Information Technology and Software Engineering, Auckland University of Technology, Auckland, New Zealand

    Jing Ma & Edmund M-K Lai

Authors
  1. Jing Ma
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  2. Edmund M-K Lai
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Corresponding author

Correspondence to Jing Ma .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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© 2017 Springer International Publishing AG

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Ma, J., Lai, E.MK. (2017). Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-61824-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61823-4

  • Online ISBN: 978-3-319-61824-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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