@inproceedings{2906a11b239e49c7ba9749671abe401e,
title = "Differential Evolution Based Multi-agent Formation Fault Reconstruction",
abstract = "The fault reconstruction of second-order multi-agent formation systems under lost communication is studied. Aiming at the specific scenarios of dynamic tracking of multi-agent systems, a mixed-integer programming algorithm based on differential evolution (DE) is proposed according to the characteristics of both continuous kinematic variables and discrete topological variables in the kinematics of UAV formation to ensure the optimization and timeliness. Then, the simulation platform is built and tested in the scene of dynamically tracking. Eventually, the theoretical results are verified by simulation examples. The results show that the method proposed in this paper can ensure that the formation make appropriate adjustments to achieve dynamic target tracking in the process of dynamic target tracking under complex circumstance.",
keywords = "Differential evolution, Dynamic tracking, Fault reconstruction, Multi-agent",
author = "Zirui Liao and Shaoping Wang and Jian Shi and Qiwang Weng",
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\_191",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2273--2285",
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",
}