Home /Research /Complex network–based pinning control of drone swarm
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

Related papers

Browse all SWARM papers