@inproceedings{d179a3b386bc42828771128b5f186a61,
title = "Collective Behavior Regulation in Drone Swarms via Pinning Strategies",
abstract = "In this paper, we discuss the collective behavior of drone swarms and remark that the swarm behavior can be realized by pinning a few nodes. Additionally, the selection of pinning nodes effects the global characteristic. Compared with other methods, the uniform degree selection of pinning nodes in a swarm exhibits better performance. In order to verify the effectiveness of our pinning strategy, we conduct simulations in a self-driven drone swarm, in which the experimental results confirm the availability of our conclusion.",
keywords = "collective behavior, drone swarms, pinning control, pinning strategies design, self-driven system",
author = "Gaoxiang Liu and Kexin Liu and Lei Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 ; Conference date: 24-11-2023 Through 27-11-2023",
year = "2024",
doi = "10.1007/978-981-97-3336-1_38",
language = "English",
isbn = "9789819733354",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "444--454",
editor = "Xiaoduo Li and Xun Song and Yingjiang Zhou",
booktitle = "Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Decision and Planning Technologies",
address = "Germany",
}