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)
ISSN0743-1546
页码1162-1169
发表状态已发表
DOI10.1109/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
EISSN2576-2370
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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