@inproceedings{e9b0e94f5c3545af8930ffdb7d31f67d,
title = "Robust Cooperative Guidance Against Maneuvering Target Based on Distributed State Estimation",
abstract = "This paper presents a novel robust cooperative guidance law against high-maneuvering target based on state information obtained from networked distributed estimation. To attack the target accurately, a distributed state estimation algorithm is proposed by two steps: local filter and interaction fusion. During the interaction fusion step, the accurate state information of target can be obtained based on the local neighboring interactions. Then, the guidance law considering maneuvering target acceleration information is designed, which can be used to attack the maneuvering target accurately. Finally, a numerical simulation example for maneuvering target cooperative attack is given to validate the performance of the algorithm.",
keywords = "Distributed estimation, Maneuvering target, Robust cooperative guidance",
author = "Zheng Zhang and Jianglong Yu and Xiwang Dong and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",
year = "2023",
doi = "10.1007/978-981-19-6613-2\_326",
language = "英语",
isbn = "9789811966125",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3355--3364",
editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",
address = "德国",
}