Prescribed-time multi-coalition Nash equilibrium seeking by event-triggered communication

被引:0
|
作者
Sun, Mengwei [1 ]
Ren, Lu [2 ,3 ]
Liu, Jian [1 ,4 ]
Sun, Changyin [1 ,2 ]
机构
[1] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
[2] Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Anhui, Peoples R China
[3] Anhui Univ, Minist Educ, Engn Res Ctr Autonomous Unmanned Syst Technol, Hefei 230601, Anhui, Peoples R China
[4] Southeast Univ, Minist Educ, Key Lab Measurement & Control Complex Syst Engn, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-coalition noncooperative game; Nash equilibrium seeking; Prescribed-time convergence; Event-triggered scheme; DISTRIBUTED OPTIMIZATION; GAMES;
D O I
10.1016/j.chaos.2024.115679
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This article investigates the event-triggered prescribed-time Nash equilibrium seeking problem among multiple coalitions of agents in noncooperative games. Each coalition acts as a virtual player in the noncooperative game, with decisions made by its member agents. Agents lack complete information about others' decisions and instead estimate them through a communication graph. An event-triggered prescribed-time multi-coalition Nash equilibrium seeking method is developed based on the leader-following consensus protocol, dynamic average consensus protocol, and gradient play. This method ensures the Nash equilibrium of the multi-coalition game is reached within a prescribed time, even when communication between agents only occurs under specific triggering conditions-effectively conserving communication resources. Unlike existing approaches, the proposed algorithm allows precise settling time assignment without prior knowledge of system parameters. This algorithm also prevents Zeno behavior. Lastly, the efficiency of the designed algorithm is demonstrated through simulation experiments.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Prescribed-Time Distributed Time-Varying Nash Equilibrium Seeking for Formation Placement Control
    Tao, Qianle
    Liu, Yongfang
    Xian, Chengxin
    Zhao, Yu
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (11) : 4423 - 4427
  • [32] Event-Triggered Control for Nonlinear Uncertain Systems via a Prescribed-Time Approach
    Ning, Pengju
    Hua, Changchun
    Li, Kuo
    Meng, Rui
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (11) : 6975 - 6981
  • [33] Prescribed-time event-triggered control of multi-agent systems based on continuous scaling function
    Hou, Zhicheng
    Zhang, Jingcai
    Zhou, Zhikang
    Tan, Zhiping
    Wang, Weijun
    Wang, Jian
    Tang, Yu
    JOURNAL OF THE FRANKLIN INSTITUTE, 2025, 362 (01)
  • [34] Exponentially Convergent and Prescribed-Time Fully Distributed Nash Equilibrium Seeking Strategy Design
    Jia, Guobiao
    Ye, Maojiao
    Ding, Lei
    2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 6401 - 6406
  • [35] Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
    Pu, Zhiqiang
    Ai, Xiaolin
    Yi, Jianqiang
    NONLINEAR DYNAMICS, 2022, 109 (04) : 2781 - 2798
  • [36] Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
    Zhiqiang Pu
    Xiaolin Ai
    Jianqiang Yi
    Nonlinear Dynamics, 2022, 109 : 2781 - 2798
  • [37] Prescribed-time cluster consensus for nonlinear multi-agent systems under event-triggered intermittent control
    Zuo, Fujuan
    Yu, Zhiyong
    Jiang, Haijun
    NONLINEAR DYNAMICS, 2025,
  • [38] Fully Distributed Event-Triggered Nash Equilibrium Seeking for Networked Mean Field Games
    Long, Jia
    Yu, Dengxiu
    Cheong, Kang Hao
    Wang, Zhen
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2025, 55 (02): : 876 - 885
  • [39] Dynamic Event-Triggered Mechanism for Distributed Nash Equilibrium Seeking Under Switching Topologies
    Zhang, Kaijie
    He, Wangli
    Xu, Wenying
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025, 21 (01) : 564 - 573
  • [40] Prescribed-Time Event-Triggered Distributed Optimization With Privacy Protection Over Directed Networks
    Shi, Xinli
    Fan, Deru
    Wang, Kang
    Wan, Ying
    Wen, Guanghui
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025,