TY - GEN
T1 - Fully Distributed Generalized Nash Equilibrium Seeking with Multiple Heterogeneous Players
AU - Xian, Chengxin
AU - Wen, Guanghui
AU - Tao, Qianle
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper solves the fully distributed generalized Nash equilibrium (GNE) seeking problem of multiple heterogeneous players over undirected communication networks. Each player has a cost function that depends on the strategies of all players and is accessible only to the player itself. Moreover, the strategies of all players are coupled by a linear constraint set. Then, to reach the objective of GNE seeking problem, a fully distributed GNE seeking strategy is proposed by utilizing the output regulation technique, the adaptive parameter method and an augmented gradient-play dynamics. Unlike existing works that only consider simple dynamics and require the global information, 1) the heterogeneous dynamics are considered in this paper and the outputs of multiple heterogeneous players are driven to the GNE in a distributed fashion, and 2) the GNE seeking strategy does not require known information about the Lipschitz and monotone constants of the pseudo-gradient, as well as the algebraic connectivity of the graph. Finally, the effectiveness of the theoretical results is demonstrated.
AB - This paper solves the fully distributed generalized Nash equilibrium (GNE) seeking problem of multiple heterogeneous players over undirected communication networks. Each player has a cost function that depends on the strategies of all players and is accessible only to the player itself. Moreover, the strategies of all players are coupled by a linear constraint set. Then, to reach the objective of GNE seeking problem, a fully distributed GNE seeking strategy is proposed by utilizing the output regulation technique, the adaptive parameter method and an augmented gradient-play dynamics. Unlike existing works that only consider simple dynamics and require the global information, 1) the heterogeneous dynamics are considered in this paper and the outputs of multiple heterogeneous players are driven to the GNE in a distributed fashion, and 2) the GNE seeking strategy does not require known information about the Lipschitz and monotone constants of the pseudo-gradient, as well as the algebraic connectivity of the graph. Finally, the effectiveness of the theoretical results is demonstrated.
KW - Adaptive control
KW - Distributed generalized Nash equilibrium seeking
KW - Heterogeneous linear multi-agent system
KW - Noncooperative games
UR - https://www.scopus.com/pages/publications/105013956635
U2 - 10.1109/CCDC65474.2025.11091164
DO - 10.1109/CCDC65474.2025.11091164
M3 - 会议稿件
AN - SCOPUS:105013956635
T3 - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
SP - 2167
EP - 2172
BT - Proceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Chinese Control and Decision Conference, CCDC 2025
Y2 - 16 May 2025 through 19 May 2025
ER -