Prescribed-Time Fully Distributed Nash Equilibrium Seeking Strategy in Networked Games

被引:2
|
作者
Qian, Cheng [1 ,2 ]
Ding, Lei [1 ,2 ]
机构
[1] Nanjing Univ Posts & Telecommun, Inst Adv Technol Carbon Neutral, Coll Automat, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Artificial Intelligence, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/JAS.2023.123933
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dear Editor, This letter is concerned with prescribed-time fully distributed Nash equilibrium seeking for networked games under directed graphs. An adaptive algorithm is proposed to ensure the convergence of all players to the Nash equilibrium without requiring any knowledge of global parameters. Moreover, it is theoretically proved that the convergence time of the proposed seeking strategy can be predefined based on practical requirements. Finally, a numerical example is presented to validate the effectiveness of the proposed method.
引用
收藏
页码:261 / 263
页数:3
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