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。
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。
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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