Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach

Chengxin Xian, Qianle Tao, Yongfang Liu, Huimin Wang, Yu Zhao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper investigates the event-triggered distributed optimization problems (ETDOPs) over strongly connected directed networks. By assigning an additional scalar state variable to each agent and utilizing diminishing time-varying gain/step-size, a class of modified event-triggered distributed optimization algorithms (ETDOAs) is proposed, which can address the ETDOPs well and can avoid the inverse operation of some estimators in the existing literature. Compared with the existing DOAs, this paper gives a new idea to solve the DOPs under weighted-unbalanced digraphs and continuous communication of agent networks is avoided. Finally, numerical simulations are given to illustrate the effectiveness of the proposed ETDOAs.

源语言英语
主期刊名2023 62nd IEEE Conference on Decision and Control, CDC 2023
出版商Institute of Electrical and Electronics Engineers Inc.
3884-3889
页数6
ISBN(电子版)9798350301243
DOI
出版状态已出版 - 2023
活动62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, 新加坡
期限: 13 12月 202315 12月 2023

出版系列

姓名Proceedings of the IEEE Conference on Decision and Control
ISSN(印刷版)0743-1546
ISSN(电子版)2576-2370

会议

会议62nd IEEE Conference on Decision and Control, CDC 2023
国家/地区新加坡
Singapore
时期13/12/2315/12/23

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