@inproceedings{efdbd301460d458bbbf3832e37ad4594,
title = "Unpowered Gliding Vehicle Cooperative Trajectory Feature Point Planning Methodology",
abstract = "This paper addresses the problem of unpowered gliding vehicle (UGV) cooperative trajectory planning with cluster rendezvous, impact time and terminal heading angle constraints. Based on the dichotomous iterative method and the master-slave cooperative scheme, the trajectory feature points of the cooperative control strategy of UGVs are quickly obtained. The real-time formation transformation for the cluster in the quasi-balanced gliding state of the re-entry segment and the trajectory feature point planning are realized for the multiple attacking angle coordinated against the target. The results of simulation demonstrate the rapidity and feasible of the proposed cooperative trajectory planning method for UGV within a certain range.",
keywords = "Cooperation, Trajectory Planning, Unpowered gliding vehicle",
author = "Wang, {Zhuo Yao} and Liu, {Jun Hui} and Li, {Chuan Jun} and Shan, {Jia Yuan}",
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_23",
language = "English",
isbn = "9789819733354",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "253--264",
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",
}