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。
A three-dimensional transfer matrix model was presented to simulate the sound absorption coefficients of the graded polyurethanes based on relation of stress and strain of polymers.
根据高分子材料中三维应力应变关系建立了三维传递矩阵数学模型，模拟梯度聚氨酯在不同入射角下的吸声性能。
Wavelet transform was utilized to get coefficients of each scale. Based the coefficient matrix, principal component analysis model was established to diagnose sensor fault.
利用小波变换得到传感器信号在各个尺度上的系数，然后根据尺度系数矩阵建立主元分析模型进行传感器故障诊断。
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