Generalized Nash Equilibrium Seeking Strategy for Nonsmooth Noncooperative Game with Equality Constraints

Xinrui Jiang, Zhaorui Xin, Sitian Qin, Jiqiang Feng, Guocheng Li
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Abstract

This article discusses the problem of Nash equilibrium seeking for noncooperative game with equality constraints. In the problem, each player desires to maximize its nonsmooth payoff function which depends on both its own strategy and the strategy of other players. Besides, the game-player is subjected to private local equality constraints. We use a l1 penalty function to deal with the equality constraints and a Nash equilibrium seeking strategy is designed on the basis of differential inclusions and subgradient methods. And we show that the strategy of player is exponentially convergent to the Nash equilibrium with Lyapunov methods. Finally, a numerical example is presented to illustrate the validity of our theoretical results.
不等式约束下非光滑非合作对策的广义纳什均衡寻求策略
讨论了具有相等约束的非合作对策的纳什均衡寻求问题。在这个问题中,每个参与者都希望最大化自己的非平滑收益函数,这取决于自己的策略和其他参与者的策略。此外,博弈参与者还受到局部私平等约束。我们使用l1惩罚函数来处理等式约束,并基于微分包含和次梯度方法设计了纳什均衡寻求策略。利用李雅普诺夫方法证明了参与人的策略是指数收敛于纳什均衡的。最后通过数值算例说明了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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