| 引用本文: | 崔秋燕,纪志坚.分布式优化研究进展[J].控制理论与应用,2025,42(11):2196~2206.[点击复制] |
| CUI Qiu-yan,JI Zhi-jian.Advances in distributed optimization[J].Control Theory & Applications,2025,42(11):2196~2206.[点击复制] |
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| 分布式优化研究进展 |
| Advances in distributed optimization |
| 摘要点击 2104 全文点击 158 投稿时间：2025-03-14 修订日期：2025-09-26 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.50100 |
| 2025,42(11):2196-2206 |
| 中文关键词 多智能体系统 离线分布式优化 离散时间 连续时间 在线分布式优化 遗憾 |
| 英文关键词 multi-agent systems offline distributed optimization discrete time continuous time online distributed optimization regret |
| 基金项目 国家自然科学基金项目(62373205,62033007),中国山东省泰山学者项目(tstp20230624),中国山东省泰山学者登山计划,青岛大学系统科学与技术 联合研究项目(Xt2024101)资助. |
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| 中文摘要 |
| 分布式优化问题是多智能体协同控制领域的重要研究课题之一,旨在通过局部信息交互实现全局目标的
协同优化.在分布式优化框架下,每个智能体基于自身的局部信息,并通过通信网络与其邻居节点交换信息,以分
布式方式协同最小化全局目标函数.本文系统梳理了近年来的相关文献,综述了离线和在线分布式优化问题的研
究现状.最后,本文对未来的研究趋势进行了展望,指出了分布式优化在多智能体系统中的潜在发展方向. |
| 英文摘要 |
| Distributed optimization, as a critical research topic in the field of multi-agent cooperative control, focuses
on achieving global collaborative optimization objectives through localized information exchange among agents. Under
distributed optimization, each agent utilizes its own local information and communicates with neighboring nodes via a
communication network to collaboratively minimize the global objective function. This study conducts a systematic review
of the relevant literature from recent years and provides an overview of the current research status in both offline and online
distributed optimization. Finally, we discuss several future research directions and highlight the potential developments in
distributed optimization for multiagent systems. |