@inproceedings{dbb8d8ba03624246851dff17c1115e9e,
title = "Distributed Quantified Shape Formation in Homogeneous Swarms",
abstract = "This paper proposes a distributed quantified shape-formation algorithm that incorporates communication quantification in consensus negotiation during motion control. This algorithm encourages all agents to reach a consensus on the location and orientation of the target shape within limited communication bandwidth, which reduces the bandwidth required for communication greatly. The quantified shape-formation algorithm guides all agents to complete the shape-formation task while negotiating the target shape with each other. Moreover, the algorithm is extended to the under-actuated unmanned ground vehicle (UGV) model considering its nonholonomic constraints, expanding the application scenarios of this algorithm. Numerical simulations are conducted to demonstrate the algorithm's effectiveness: The consensus on the location and orientation of the target shape can be achieved using limited communication bandwidth. All of the agents are converged to the user-defined shape and are forced as dispersedly as possible to ensure the target area is filled.",
keywords = "Communication Quantification, Distributed Control, Nonholonomic Constraint, Shape Formation",
author = "Jvlong Xiao and Kexin Liu",
note = "Publisher Copyright: {\textcopyright} 2024 Technical Committee on Control Theory, Chinese Association of Automation.; 43rd Chinese Control Conference, CCC 2024 ; Conference date: 28-07-2024 Through 31-07-2024",
year = "2024",
doi = "10.23919/CCC63176.2024.10661670",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5841--5846",
editor = "Jing Na and Jian Sun",
booktitle = "Proceedings of the 43rd Chinese Control Conference, CCC 2024",
address = "美国",
}