ExtCertPathBuilderException

关于simulink的一些仿真实例，对初学者有所帮助！(It is a document of PDF about examples of Simulink simulation , to help beginners!)

无监督聚类算法,能够自动聚类,不必预先给出类数,聚类精度好于常用的聚类算法.(Unsupervised clustering algorithm, can automatically cluster, do not have to give in advance the number of categories, clustering accuracy of better than commonly used clustering algorithm.)

说明：  对近代概率论的知识体系作了详细的介绍。包括了许多基本的知识。(Modern knowledge of probability theory were described in detail. Includes a number of basic knowledge.)

一级倒立摆的模糊控制，用融合函数的思想，基于最优控制。通过simulink仿真。(An inverted pendulum fuzzy control, with the idea of integration of functions, based on the optimal control. Through the simulink simulation.)

IEC 61850 ed1 ed2 comparison

说明：  是matlab一些常用的算法集合，方便在计算编程时直接调用(Matlab algorithms are a collection of some commonly used to facilitate programming in the calculation of the direct call)

说明：  有源滤波器检测算法的MATLAB程序，应用DQ0 算法，电流源加的是5 次谐波(active filter detection algorithm in MATLAB, application DQ0 algorithm increases the current source is the 5th harmonic)

产生白噪声，并对白噪声进行fft，画出白噪声的频谱。(White noise and white noise fft, draw a white noise spectrum.)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.

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