期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 67, 期 6, 页码 3067-3074出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2021.3092561
关键词
Optimization; Couplings; Communication networks; Cost function; Random processes; Distributed algorithms; Convergence; Asynchronous method; multiagent optimization; stochastic time-varying network
资金
- European Union [675318]
This paper discusses a multiagent optimization problem arising from energy systems management. The proposed algorithm is based on solving the dual of the augmented problem, addressing the separable and convex cost function, non-strong convexity, and edge-based coupling equality constraints. The time-varying nature of the communication network and the asynchronous execution of the algorithm are also considered.
A multiagent optimization problem motivated by the management of energy systems is discussed. The associated cost function is separable and convex although not necessarily strongly convex and there exist edge-based coupling equality constraints. In this regard, we propose a distributed algorithm based on solving the dual of the augmented problem. Furthermore, we consider that the communication network might be time-varying and the algorithm might be carried out asynchronously. The time-varying nature and the asynchronicity are modeled as random processes. Then, we show the convergence and the convergence rate of the proposed algorithm under the aforementioned conditions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据