Distributed Nash Equilibrium Seeking With a Gradient-Based Event-Triggered Mechanism
研究有向通信网络中非合作博弈的分布式纳什均衡求解问题，提出一种基于梯度的动态事件触发机制，避免Zeno行为，并证明指数收敛性，仿真验证了五智能体系统的有效性。
This article investigates the problem of distributed Nash equilibrium (NE) seeking in noncooperative games within a directed communication network. For promoting the efficiency of communication among players, a gradient-based dynamic event-triggered mechanism is proposed, where Zeno behavior is excluded. Moreover, based on the Lyapunov stability theory, we derive sufficient conditions for exponential convergence and demonstrate that the seeking strategy proposed facilitates the convergence of players' actions toward the NE. To illustrate the effectiveness of the proposed strategies, simulation results are presented in a system consisting of five agents.