@inproceedings{0796b8417af24f349ff39fa093ceeb77,
title = "Distributed Formation Control for Multiple Unmanned Aerial Vehicles Under Dynamic Threat",
abstract = "In this paper, an algorithm design and a simulation research on the optimization problem in the proposed distributed model predictive control framework for UAVs are accomplished. Firstly, the distributed model predictive control method is used to realize different formation maintenance. Then, a collision avoidance control method is added to the distributed model predictive control framework to realize stable formation of UAVs under static threat. Based on the real-time prediction of the dynamic obstacle{\textquoteright}s states, the collision avoidance of multi-UAV formation under dynamic threat is finally achieved while maintaining the formation. Simulations show that the formation maintenance error is acceptable when the multi-UAV formation is maintained under static and dynamic threat.",
keywords = "Distributed, Dynamic threat, Formation control",
author = "Jiang Zhao and Li Xin and Yingxun Wang and Cai Zhihao",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_94",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1123--1134",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "德国",
}