The method sets system disturbance within the feedback gain matrix f, which can be computed by iteration, in order to make the closed loop system optimum.

该方法设定外部干扰矩阵，基于全状态的分散，将系统干扰项考虑到反馈增益矩阵f中，用迭代方法求F阵以使闭环系统最优。

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The pole-placement namely is to make poles of closed loop of system just at positions of a group of desirable poles by selecting state feedback matrix.

所谓极点配置就是通过反馈阵的选择，使闭环系统的极点，恰好处于所希望的一组极点的位置上。

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Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.

为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。

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