Robust distributed Nash equilibrium solution for multi-agent differential graphical games

被引:0
|
作者
Zhang, Shouxu [1 ,2 ,3 ]
Zhang, Zhuo [1 ,2 ,3 ]
Cui, Rongxin [1 ,2 ,3 ]
Yan, Weisheng [1 ,2 ,3 ]
机构
[1] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen, Peoples R China
[2] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Peoples R China
[3] Natl Key Lab Underwater Informat & Control, Xian, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2024年 / 18卷 / 18期
基金
中国国家自然科学基金;
关键词
differential games; distributed control; multi-agent systems; robust control; uncertain systems;
D O I
10.1049/cth2.12687
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the differential graphical games for linear multi-agent systems with modelling uncertainties. A robust optimal control policy that seeks the distributed Nash equilibrium solution and guarantees the leader-following consensus is designed. The weighting matrices rely on modelling uncertainties, leading to the Nash equilibrium solution, and the solution can be obtained by solving a decoupled algebraic Riccati equation. Simulation studies are finally reported to illustrate the effectiveness of proposed policy. This paper studies the differential graphical games for linear multi-agent systems with modelling uncertainties. A robust optimal control policy that seeks the distributed Nash equilibrium solution and guarantees the leader-following consensus is designed. image
引用
收藏
页码:2813 / 2822
页数:10
相关论文
共 50 条
  • [41] A distributed optimization algorithm for Nash bargaining in multi-agent systems
    Camisa, Andrea
    Koehler, Philipp N.
    Mueller, Matthias A.
    Notarstefano, Giuseppe
    Allgower, Frank
    IFAC PAPERSONLINE, 2020, 53 (02): : 2684 - 2689
  • [42] Distributed control of a mobile robot multi-agent system for Nash equilibrium seeking with sampled neighbor information☆
    Kalyva, Dimitra
    Psillakis, Haris E.
    AUTOMATICA, 2024, 166
  • [43] Directed graphical structure, Nash equilibrium, and potential games
    Liu, Shuige
    OPERATIONS RESEARCH LETTERS, 2018, 46 (03) : 273 - 277
  • [44] Robust Distributed Nash Equilibrium Seeking for Games Under Attacks and Communication Delays
    Wang, Xue-Fang
    Sun, Xi-Ming
    Ye, Maojiao
    Liu, Kun-Zhi
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (09) : 4892 - 4899
  • [45] Predefined-Time Generalized Nash Equilibrium Seeking for Noncooperative Games of Hybrid Heterogeneous Multi-Agent Systems
    Yang, Yu
    Nian, Xiaohong
    Niu, Fuxi
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 3392 - 3397
  • [46] Distributed Search for Pure Nash Equilibria in Graphical Games
    Litov, Omer
    Meisels, Amnon
    AAMAS'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS, 2016, : 1279 - 1280
  • [47] Scalable Equilibrium Computation in Multi-agent Influence Games on Networks
    Christia, Fotini
    Curry, Michael
    Daskalakis, Constantinos
    Demaine, Erik
    Dickerson, John P.
    Hajiaghayi, MohammadTaghi
    Hesterberg, Adam
    Knittel, Marina
    Milliff, Aidan
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 5277 - 5285
  • [48] Finding an optimal Nash equilibrium to the multi-agent project scheduling problem
    Briand, Cyril
    Ngueveu, Sandra Ulrich
    Sucha, Premysl
    JOURNAL OF SCHEDULING, 2017, 20 (05) : 475 - 491
  • [49] Finding an optimal Nash equilibrium to the multi-agent project scheduling problem
    Cyril Briand
    Sandra Ulrich Ngueveu
    Přemysl Šůcha
    Journal of Scheduling, 2017, 20 : 475 - 491
  • [50] Distributed Control of Multi-Agent Systems via Linear Quadratic Differential Games with Partial Information
    Cappello, Domenico
    Mylvaganam, Thulasi
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 4565 - 4570