TY - GEN
T1 - Robust Distributed Nash Equilibrium Seeking for Discrete-Time Agents
AU - Liu, Lupeng
AU - Deng, Fang
AU - Chen, Jie
AU - Lu, Maobin
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - This paper investigates the distributed Nash equilibrium seeking problem of N players with discrete-time dynamics under jointly strongly connected switching networks. First, by integrating gradient play technique with a novel discrete-time distributed observer design, we develop a discretetime distributed Nash equilibrium seeking controller to solve the problem. Next, we establish two technical lemmas to analyze the uniform exponential stability of discrete-time linear switched systems. Then, we obtain the exponential stability of the interconnected closed-loop systems by constructing a Lyapunov function and providing a controller gain design method with the small gain arguments. Finally, the discrete-time distributed Nash equilibrium seeking is achieved over jointly strongly connected switching communication networks. The effectiveness of the developed approach is demonstrated by a numerical simulation example.
AB - This paper investigates the distributed Nash equilibrium seeking problem of N players with discrete-time dynamics under jointly strongly connected switching networks. First, by integrating gradient play technique with a novel discrete-time distributed observer design, we develop a discretetime distributed Nash equilibrium seeking controller to solve the problem. Next, we establish two technical lemmas to analyze the uniform exponential stability of discrete-time linear switched systems. Then, we obtain the exponential stability of the interconnected closed-loop systems by constructing a Lyapunov function and providing a controller gain design method with the small gain arguments. Finally, the discrete-time distributed Nash equilibrium seeking is achieved over jointly strongly connected switching communication networks. The effectiveness of the developed approach is demonstrated by a numerical simulation example.
UR - https://www.scopus.com/pages/publications/105047314758
U2 - 10.1109/ICCA69928.2026.11618264
DO - 10.1109/ICCA69928.2026.11618264
M3 - 会议稿件
AN - SCOPUS:105047314758
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 2016
EP - 2021
BT - 2026 IEEE 20th International Conference on Control and Automation, ICCA 2026
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on Control and Automation, ICCA 2026
Y2 - 16 June 2026 through 19 June 2026
ER -