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.
| Original language | English |
|---|---|
| Pages (from-to) | 207-212 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 55 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 16th IFAC Symposium on Large Scale Complex Systems: Theory and Applications LSS 2022 - Xi'an, China Duration: 22 Apr 2022 → 24 Apr 2022 |
Keywords
- Pinning control
- complex networks
- drone swarms
- flocking
- large-scale systems
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Zhou, J., Liu, K., Lü, Y., & Chen, L. (2022). Complex network-based pinning control of drone swarm. IFAC-PapersOnLine, 55(3), 207-212. https://doi.org/10.1016/j.ifacol.2022.05.036