Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy

被引：2
|
作者：
Guo, Feilong [1 ]
Chen, Xinrui [1 ]
Yue, Mengyao [1 ]
Jiang, Haijun [1 ]
Chen, Siyu [1 ]
机构：
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China
来源：
ENTROPY | 2023年 / 25卷 / 07期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
resource allocation problem; distributed optimization; dynamic event-triggered; consensus; Zeno behavior; TIME OPTIMIZATION; MULTIAGENT SYSTEMS; CONSENSUS;
D O I：
10.3390/e25071019
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This study aims to unravel the resource allocation problem (RAP) by using a consensus-based distributed optimization algorithm under dynamic event-triggered (DET) strategies. Firstly, based on the multi-agent consensus approach, a novel one-to-all DET strategy is presented to solve the RAP. Secondly, the proposed one-to-all DET strategy is extended to a one-to-one DET strategy, where each agent transmits its state asynchronously to its neighbors. Furthermore, it is proven that the proposed two types of DET strategies do not have Zeno behavior. Finally, numerical simulations are provided to validate and illustrate the effectiveness of the theoretical results.
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收藏
页数：18
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