@inproceedings{d199ad3c9da94484bd6cfbb1e4a33403,
title = "Distributed Resource Allocation Games under Dynamic Constraints",
abstract = "The dynamic characteristics of business loads and deep coupling of multi-dimensional resources make traditional resource allocation methods that only considers static constraints inadequate. This paper addresses the challenge of distributed resource allocation games under dynamic constraints. By proposing a distributed method, this method tackles key issues such as strongly time-varying total resources and tightly coupled cost functions among agents. A distributed algorithm is proposed to make each agent's decision linearly converge to the neighborhood of Nash equilibrium. Simulation example illustrates the effectiveness of the proposed algorithm.",
keywords = "Nash equilibrium, distributed resource allocation game, dynamic constraint",
author = "Zheting Liu and Kai Wu and Yuezu Lv",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Unmanned Systems, ICUS 2025 ; Conference date: 18-09-2025 Through 19-09-2025",
year = "2025",
doi = "10.1109/ICUS66297.2025.11295827",
language = "English",
series = "Proceedings of 2025 IEEE International Conference on Unmanned Systems, ICUS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1940--1945",
editor = "Rong Song",
booktitle = "Proceedings of 2025 IEEE International Conference on Unmanned Systems, ICUS 2025",
address = "United States",
}