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对于一个线性时恒网络而言,联系激励变量和响应变量的拉氏变換的系数矩阵称为网络的参量矩阵,而矩阵的元素称为网络参量。根据激励变量和响应变量的不同选择,可以得到各种不同的网络参量(矩阵)用来描述该网络。根据不同的目的,常常要用到各种不同的网络参量(矩阵),因此常常需要进行网络参量的換算。 本文详细地研究了线性时恒网络参量的換算方法,提出了一种利用矩阵和向量运算法则进行网络参量換算的方法。利用这种方法比文献[1]中提出的方法要少计算一倍的矩阵元素,概念清晰、步骤简单明了,不用记忆繁琐的公式。
For a linear time-invariant network, the coefficient matrix of the Laplace transform that relates the excitation variables and the response variables is called the parameter matrix of the network, and the elements of the matrix are called the network parameters. Depending on the choice of stimulus variables and response variables, various network parameters (matrices) can be used to describe the network. According to different purposes, often use a variety of network parameters (matrix), so often need to convert network parameters. In this paper, we study the conversion method of linear time-invariant network parameters in detail, and propose a method to convert network parameters using matrix and vector algorithm. Compared with the method proposed in the literature [1], this method has less computational doubling of the matrix elements, the concept is clear, the steps are simple and clear, and there is no need to memorize complicated formulas.