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The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is
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A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representatio
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求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value
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编程序，按如下要求来求解n元一次线性方程组（假设方程组具有唯一解）。
（1）方程个数n之值由用户通过键盘输入；
（2）方程组存放在“增广矩阵”A之中，而n行n+1列的A存储空间通过new来动态分配，且A的各元素值也由用户通过键盘输入；
-Allocation procedures, the following requirements to solve the n-a system of linear equations (assuming a unique solution
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Mapack可用来做矩阵运算
Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank,
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介绍基于神经网络的反馈线性化控制过程。反馈线性就是利用反馈的控制手段来消除系统中的非线性，以使的其闭环系统的动力学方程是线性的。-Introduced based on neural network feedback linearization control process. Feedback linearization is to use feedback control to eliminate the non-linear system, so that its closed-loop
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duct.f computes a fully developed viscous laminar flow in a rectangular channel of aspect ratio b/a (=bar).
solve the equation:
d^2u/dx^2 + d^2u/dy^2 = -1, -a<x<a, -b<y<b
method of discretisation: 3-point centered differences
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Solve a system of linear equation
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线性最优状态调节器，一阶系统，Riccati方程的求解-Linear optimal state regulator, first-order system, Riccati equation
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数值积分方法练习与函数调用：利用ode23或ode45求解线性时不变系统微分方程
=Ay(t)并绘出y（t）的曲线，式中
=0， =4
-Using ode45 ode23 or to solve the linear differential equation when the same system
= Ay (t) and draw y (t) curve, type
= 0, = 4
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solves the system of linear algebraic equation
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灰色系统理论相关源代码（Matlab语言）目前使用最广泛的灰色预测模型就是关于数列预测的一个变量、一阶微分的GM(1,1)模型。它是基于随机的原始时间序列，经按时间累加后所形成的新的时间序列呈现的规律可用一阶线性微分方程的解来逼近。经证明，经一阶线性微分方程的解逼近所揭示的原始时间序列呈指数变化规律。因此，当原始时间序列隐含着指数变化规律时，灰色模型GM(1,1)的预测是非常成功的。-Gray system theory, source code (Matlab language) is the
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doolite分解法求解线性方程，输入方程的系数，即可求得线性方程组的解-Doolite decomposition method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations
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列主消元法求解线性方程，输入方程的系数，即可求得线性方程组的解-Column main elimination method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations
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追赶法法求解线性方程，输入方程的系数，即可求得线性方程组的解-Thomas method to solve the linear equation, the coefficient of input equation can be obtained by the solution of the linear system of equations
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Matlab 简单线性回归方程的m文件，适合用于电力系统规划，预测用电率的情况-M file Matlab simple linear regression equation, suitable for power system planning, forecasting electricity rate case
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linear system equation solver on OpenFOAM
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卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。
斯坦利·施密特(Stanley Schmidt)首次实现了卡尔曼滤波器。卡尔曼在NASA埃姆斯研究中心访问时，发现他的方法对于解决阿波罗计划的轨道预测很有用，后来阿波罗飞船的导航电脑使用了这种滤波器。 关于这种滤波器的论文由Swerling (1958), Kalman (1960)与 Ka
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卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。(Kalman filtering (KF) is an algorithm for optimal estimation of system state by using linear system state equation and input and output observation
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两种对二阶系统进行参数辨识的最小二乘算法，一种可以直接得到输入输出之间的传递函数，一种可以解出线性的差分方程各系数，再反解得到传递函数。附带的一个二阶系统的模型，可以自行下载导入输入输出数据进行试验。(Two kinds of least square algorithm for parameter identification of second-order system, one can directly get the transfer function between input and
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