Distributed Optimization in Prescribed-Time with Time-Varying Cost Functions

被引：1

作者：

Chen, Yong ^{[1
]}

Zou, Fuda ^{[1
]}

Yu, Tao ^{[1
]}

机构：

[1] Cent South Univ, Sch Automat, Changsha 410004, Peoples R China

来源：

2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年

基金：

中国国家自然科学基金;

关键词：

Distributed optimization; Prescribed-time convergence; Time-varying optimization; NETWORKS; ALGORITHM; CONSENSUS;

D O I：

10.1109/CCDC58219.2023.10326860

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we study distributed optimization problems with time-varying cost functions, allowing each agent to have a different Hessian matrix. Based on the average consensus estimator and time scale function, a continuous-time time-varying distributed optimization algorithm with prescribed-time convergence is constructed. The convergence of the algorithm is analyzed by Lyapunov theory. Finally, the effectiveness of the algorithm is verified by a practical numerical simulation.

引用

页码：1849 / 1854

页数：6

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