根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。
Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises.
首先，本文将引人中位数来定义随机支苟值的偏好，并在此偏好的基础上进一步定义带随机支付双矩阵博弈的纳什均衡。
In this paper, the preferences on stochastic payoffs are defined by quantiles, and the Nash equilibrium of the bimatrix game with stochastic payoffs is given base on the preferences.
笔者还使用控制权竞争的博弈模型初步估算了控制权收益，解释了控制权收益值偏低的原因。
Besides, we measure control rights benefits from game model, and find the reasons why control rights benefits are relatively low.
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