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Distributed Online Optimization with Coupled Inequality Constraints Over Unbalanced Directed Networks | |
2023-12-15 | |
会议录名称 | 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL (CDC) |
ISSN | 0743-1546 |
页码 | 1162-1169 |
发表状态 | 已发表 |
DOI | 10.1109/CDC49753.2023.10383341 |
摘要 | This paper studies a distributed online convex optimization problem, where agents in an unbalanced network cooperatively minimize the sum of their time-varying local cost functions subject to a coupled inequality constraint. To solve this problem, we propose a distributed dual subgradient tracking algorithm, called DUST, which attempts to optimize a dual objective by means of tracking the primal constraint violations and integrating dual subgradient and push-sum techniques. Different from most existing works, we allow the underlying network to be unbalanced with a column stochastic mixing matrix. We show that DUST achieves sublinear dynamic regret and constraint violation bounds, provided that the accumulated variation of the optimal sequence grows sublinearly. If the standard Slater's condition is additionally imposed, DUST acquires a smaller constraint violation bound than the alternative existing methods applicable to unbalanced networks. Simulations on a plug-in electric vehicle charging problem demonstrate the superior convergence of DUST. © 2023 IEEE. |
会议录编者/会议主办者 | East China University of Science and Technology ; et al. ; MathWorks, Harbin Engineering University ; Nanjing University of Information Science and Technology ; Shandong University of Science and Technology ; Shanghai Jiaotong Univerity |
关键词 | Plug-in electric vehicles Heuristic algorithms Cost function Convex functions Vehicle dynamics Distributed algorithms Standards |
会议名称 | 62nd IEEE Conference on Decision and Control, CDC 2023 |
会议地点 | Singapore, Singapore |
会议日期 | 13-15 Dec. 2023 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20240715547488 |
EISSN | 2576-2370 |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/349782 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_陆疌组 信息科学与技术学院_硕士生 信息科学与技术学院_博士生 |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai; 201210, China 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai; 200050, China 4.National Sun Yat-sen University, Department of Electrical Engineering, Taiwan |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Wang, Dandan,Zhu, Daokuan,Sou, Kin Cheong,et al. Distributed Online Optimization with Coupled Inequality Constraints Over Unbalanced Directed Networks[C]//East China University of Science and Technology, et al., MathWorks, Harbin Engineering University, Nanjing University of Information Science and Technology, Shandong University of Science and Technology, Shanghai Jiaotong Univerity:Institute of Electrical and Electronics Engineers Inc.,2023:1162-1169. |
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