混合系统博弈的纳什均衡寻优

Maojiao Ye
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引用次数: 5

摘要

研究了一类混合系统对策的纳什均衡寻求问题。与已有作品不同的是,本博弈框架中的参与者是由一组连续时间参与者和一组离散时间参与者组成的。寻求这种混合博弈的纳什均衡是具有挑战性的,因为一些玩家在连续时间内更新他们的行动,而其余玩家在离散时间内更新他们的行动。为了适应混合博弈,我们首先考虑参与者根据混合梯度玩法更新行动的情况(即连续时间参与者根据带有采样信息流的连续时间梯度玩法更新行动,而离散时间参与者根据离散时间梯度玩法更新行动)。然后,我们考虑玩家对对手的行动有限制的情况。针对这种情况,提出了一种基于共识的混合策略。利用李雅普诺夫稳定性分析,从理论上证明了所提混合寻优策略下纳什均衡的稳定性。最后,通过数值算例对混合寻优策略进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nash Equilibrium Seeking for Games in Hybrid Systems
Nash equilibrium seeking for games in a class of hybrid systems is investigated in this paper. Different from the existing works, the players in the present game framework are composite of a set of continuous-time players and a set of discrete-time players. Nash equilibrium seeking for such a hybrid game is challenging as some players update their actions in continuous time while the remainders update their actions in discrete time. To accommodate the hybrid games, we firstly consider a case in which the players update their actions according to the hybrid gradient play (i.e., the continuous-time players update their actions according to the continuous-time gradient play with sampled information flow while the discrete-time players update their actions according to the discrete-time gradient play). Then, we consider the case in which the players have restricted access to their opponents' actions. A hybrid consensus-based strategy is proposed for this case. The stability of the Nash equilibrium under the proposed hybrid seeking strategies is theoretically proven by utilizing Lyapunov stability analysis. Lastly, the hybrid seeking strategies are validated through a numerical example.
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