Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.

模型的基础上，泰勒级数的系数调整控制功能的迭代学习法律，学习增益矩阵，通过LMI优化设计。

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By researching the partial derivative calculation of model vertex and linearity treating field function using Taylor series, the 3D models can be changed via automatic optimization;

通过研究三角形多面体模型节点偏导数的计算方法，对目标函数进行线性化处理，形成了计算机自动迭代修改模型体的技术。

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