SWARM
Complex network–based pinning control of drone swarm
Jinhao Zhou, Kexin Liu, Yuezu Lü, Lei Chen
- Year
- 2022
- Citations
- 4
Abstract
Controlling the bulk motion of a large-scale drone swarm is a challenging and critical issue in modern swarm robotic systems. We introduce a framework of pinning control based on the self-organized flocking model with a set of selected driver drones, in which different selection strategies for driver drones are considered from the network perspective. Results show that we can control the bulk motion of a drone swarm by only controlling a set of driver drones and, furthermore, a well-selected set of driver drones can accomplish the task with better efficiency and robustness.
Keywords
DroneSwarm behaviourFlocking (texture)Robustness (evolution)Computer scienceSwarm roboticsArtificial intelligence
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