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Continuous-Time Algorithms for Distributed Optimization Problem on Directed Digraphs

  • Beihang University
  • China Aerospace Science and Technology Corporation

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 has proposed continuous-time algorithms to address a distributed optimization problem for the multi-agent system with parametric uncertainties over directed digraphs. Firstly, an virtual vector was introduced to generate reference signal. Then, a continuous-time distributed adaptive optimization algorithm with dynamic coupling gains and updating the coupling gains using relative information of system outputs and virtual vector was designed. Under this algorithm, the virtual vector can track the optimal solution asymptotically. Thirdly, an output feedback tracking protocol was designed to track the reference signal under strongly connected and directed graphs. Finally, convergence proofs were given with Lyapunov arguments and simulation results have illustrated the theoretical results.

源语言英语
主期刊名Proceedings of the 43rd Chinese Control Conference, CCC 2024
编辑Jing Na, Jian Sun
出版商IEEE Computer Society
5772-5776
页数5
ISBN(电子版)9789887581581
DOI
出版状态已出版 - 2024
活动43rd Chinese Control Conference, CCC 2024 - Kunming, 中国
期限: 28 7月 202431 7月 2024

出版系列

姓名Chinese Control Conference, CCC
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议43rd Chinese Control Conference, CCC 2024
国家/地区中国
Kunming
时期28/07/2431/07/24

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