GEOS

3个matlab原程序文件，包括： 1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (three Matlab original files, including : 1-32 : Graphics Applications articles 33-66 is : interface design articles 67-84 is : graphics processing Chapter 85-100 is : Numerical Analysis Section)

power electronics using matl lab

说明：  MATLAB语言精要及动态仿真工具SIMULINK(Essential MATLAB language and dynamic simulation tool SIMULINK)

it is a complete gmsk matlab folder

The package provides methods for computing the roots of cluster polynomials

ADP算法最原始的代码，适用于2012年自适应动态规划论文(2012 JZP paper Adaptive Dynamic Programing by Counting linear system)

matlab coding for dip

说明：  利用Matlab编写程序实现以下功能：以多项式形式输入系统前向通路传递函数和反馈回路传递函数，计算系统开环增益，判定型别，根据控制系统劳斯稳定判据原理，列出得到的任意阶次系统的劳斯表，判定闭环系统稳定性，若不稳定给出具有正实部极点的数目。 （1）根据用户输入的稳定度a，计算稳定的开环增益K的范围； （2）确定系统的最大稳定度a,计算相应的开环增益K的值。 (The use of Matlab programming to achieve the following functions: polynomial in the form of input system transfer function to the path and feedback loop transfer function, system open-loop gain calculation to determine type, according to Routh stability criterion control system theory, has been listed in the system of arbitrary order Routh table to determine the stability of the closed-loop system, if the stability of a positive real part gives the number of poles. (1) According to the stability of the user to enter a, calculation of the stability of the open-loop gain of the scope of K (2) to determine the most stable system a, the calculation of the open-loop gain of the corresponding K value.)

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。(Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.)