@inproceedings{8d9c391fbd664e3a8cac80058757a01d,
title = "Cluster Space Formation of Manned/Unmanned Aerial Team via Generalized Homogenization Control",
abstract = "Manned/unmanned aerial team is potential to overcome the autonomy challenge in current unmanned aerial vehicle (UAV) swarm. This paper provides a heterogeneous system containing the cluster space formation control method and generalized homogenization control method. Three-dimension cluster space formation controller could reduce the operator workload through converting the swarm states variables to cluster space variables. The decrease of the operation times could bring lots of benefits to the UAV swarm formation. The utilization of the generalized homogenization controller guarantees the convergence of the system and helps the system converge to the desired states fast. Comparative experiments are conducted on numerical simulations in manned/unmanned aerial team to validate the robustness and superiority of the proposed cluster space formation approach with generalized homogenization controller.",
keywords = "Cluster Space Formation, Generalized Homogenization Control, Heterogeneous System, Manned/Unmanned Aerial Team, Unmanned Aerial Vehicle (UAV)",
author = "Mengzhen Huo and Siyuan Wang and Jichuan Liu and Hao Wu and Chen Wei",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2212-2\_46",
language = "英语",
isbn = "9789819622115",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "457--465",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 4",
address = "德国",
}