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Distributed Variational Equilibrium Seeking of Multi-coalition Game via Variational Inequality Approach

机译:通过变分不等式方法分布式变分平衡研究多联盟游戏

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This paper studies the distributed variational equilibrium seeking problem for a class of multi-coalition non-cooperative games via a continuous-time algorithm. In the multi-coalition game, there are multiple coalitions and each coalition (a virtual player in the game) is composed of a set of agents, which are actual decision makers for their coalition and cooperate to minimize the coalition payoff function. To solve this problem, the variational equilibrium seeking problem for a multi-coalition game is first formulated as a distributed variational inequality problem. Then, a novel distributed projected continuous-time algorithm, which is in the form of a projected ordinary differential equation, is proposed to solve the distributed variational inequality. Finally, the algorithm is applied to a numerical example to show the efficacy of the proposed algorithm.
机译:本文通过连续时间算法研究了一类多联盟非协作游戏的分布式变分均衡问题。在多联盟游戏中,有多种联盟和每组联盟(游戏中的虚拟播放器)由一系列代理商组成,这是其联盟的实际决策者,并合作以尽量减少联盟收益职能。为了解决这个问题,多联盟游戏的变分平衡寻求问题首先被制定为分布式变分不等式问题。然后,提出了一种以投影常微分方程的形式的新型分布式投影连续时间算法,以解决分布式变分不等式。最后,将算法应用于数值示例以显示所提出的算法的功效。

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