The Dynamics of Interacting Swarms

Abstract

Swarms are self-organized dynamical coupled agents which evolve from simple rules of communication. They are ubiquitous in nature, and becoming more prominent in defense application. Here we report on a preliminary study of swarm collisions for a swarm model in which each agent is self-propelling but globally communicates with other agents. We generalize previous models by investigating the interacting dynamics when delay is introduced to the communicating agents. One of our major findings is that interacting swarms are far less likely to flock cohesively if they are coupled with delay. In addition, parameter ranges based on coupling strength, incidence angle of collision, and delay change dramatically for other swarm interactions which result in flocking, milling, and scattering.

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Document Details

Document Type
Technical Report
Publication Date
Apr 04, 2018
Accession Number
AD1049505

Entities

People

  • Carl Kolon
  • Ira B. Schwartz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Biology
  • Cells
  • Composite Materials
  • Computational Science
  • Differential Equations
  • Digital Data
  • Digital Information
  • Dynamics
  • Engineering
  • Equations
  • Fish
  • Materials
  • Mathematics
  • Metadata
  • Morse Potential
  • Phase Transformations
  • Physics
  • Polarization
  • Robotic Swarms
  • Scattering
  • Self Propelled
  • Simulations

Fields of Study

  • Physics

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control