@inproceedings{ea9a2b9021f44954835e0868a09bed97,
title = "Distributed Adaptive Formation Shaping Algorithm for Multi-agent Systems",
abstract = "In this study, we introduce a decentralized control approach to realize formations of multi-agent systems under limited communication. The algorithm meets the requirements for the expansion of large-scale formation numbers. The desired shapes are defined by star-shaped sets, which can be transformed into a circular area. The proposed algorithm leverages multi-agent consensus to compute the parameters of the formation shape, including position, direction, and scaling factor. Simulation results demonstrate that proposed approach can adjust the formation size and separate into sub-groups.",
keywords = "formation control, multi-agent systems, swarm robotics",
author = "Zhengyang Zhou and Jianan Wang and Junhui Liu and Jiayuan Shan",
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 = "10.1007/978-981-96-2220-7\_40",
language = "English",
isbn = "9789819622191",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "404--413",
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 6",
address = "Germany",
}