TY - GEN
T1 - Pre-specified-time Distributed Nash Equilibrium Seeking for Games
AU - Tao, Qianle
AU - Xian, Chengxin
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper considers the Nash equilibrium seeking problem of the game in the multi-agent system. Different from the existing research, a new method is proposed by multi-step planning to solve the pre-specified-time game, which based on the technique of the leader-following consensus protocol and gradient play. The algorithm, which players can update their action at each sampling moment, is designed to enable each player's behavior converge to the Nash equilibrium point of the game at a specified time that can be appointed in advance. In addition, the players communicate via an undirected and connected network. Finally, the algorithm proposed in this paper is verified by numerical simulations.
AB - This paper considers the Nash equilibrium seeking problem of the game in the multi-agent system. Different from the existing research, a new method is proposed by multi-step planning to solve the pre-specified-time game, which based on the technique of the leader-following consensus protocol and gradient play. The algorithm, which players can update their action at each sampling moment, is designed to enable each player's behavior converge to the Nash equilibrium point of the game at a specified time that can be appointed in advance. In addition, the players communicate via an undirected and connected network. Finally, the algorithm proposed in this paper is verified by numerical simulations.
KW - consensus tracking
KW - discrete-time game
KW - Nash equilibrium seeking
KW - pre-specified-time control
UR - http://www.scopus.com/inward/record.url?scp=85123750155&partnerID=8YFLogxK
U2 - 10.1109/IAI53119.2021.9619392
DO - 10.1109/IAI53119.2021.9619392
M3 - 会议稿件
AN - SCOPUS:85123750155
T3 - 3rd International Conference on Industrial Artificial Intelligence, IAI 2021
BT - 3rd International Conference on Industrial Artificial Intelligence, IAI 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Industrial Artificial Intelligence, IAI 2021
Y2 - 8 November 2021 through 11 November 2021
ER -