本文利用多口网络参数矩阵，讨论了多口网络参数矩阵转换的系统方法。
In this pape, a new transform method of parameter matrix of multi input and out put network is found.
在对多端口网络参数的等效变换中，得到了几个有趣的分块矩阵求逆公式。
Four interesting formulas for the block matrix inversion are derived from equivalent transformations of multi-port network parameters in this paper.
理论结果不仅能计算谐振频率，而且还给出散射矩阵等网络参数。
As a result, the network parameters and the resonant frequency are obtained.
然后通过教师样本数据对网络进行充分的训练，获得适宜的参数矩阵；
Second train the network well though training-samples and obtained the best network parameters vector.
针对不存在丢包和存在丢包的情况，通过由采样周期、被控对象与模型参数构造的稳定性判别矩阵给出了使网络控制系统渐近稳定的充分条件。
By constructing a test matrix in terms of the sampling period, the plant controlled and the model parameters, we give a sufficient condition to test the asymptotic stability for the system.
在建立了该系统的动力学模型的基础上，讨论了以阻抗矩阵表示的二端口网络结构，稚导了相应的网络特性参数。
On the basis of establishing the dynamic model of the system, a 2-port network structure demonstrated with impedance matrix is discussed and the related network performance parameters are deduced.
在建立了该系统的动力学模型的基础上，讨论了以阻抗矩阵表示的二端口网络结构，稚导了相应的网络特性参数。
On the basis of establishing the dynamic model of the system, a 2-port network structure demonstrated with impedance matrix is discussed and the related network performance parameters are deduced.
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