MPF

Simulink model for closed step change in inverter.

Tdm ver10 is a code in LabView for TDM communications

对大量的数据通过合理的方法按照一定的特性进行合理的分类，只需要输入原数据文件即可。(cluster analysis)

Its an IEEE paper about Energy Loss Minimization of Electricity Networks with Large Wind Generation using FACTS.

a demo of implementing SVM Classifier

霍夫变换程序，可以改成目标跟踪程序，用于目标跟踪，可以直接用……(Hough transform, can be changed to target tracking procedures for target tracking, can be directly used ...)

AN ANN BASED APPROACH FOR OPTIMAL PLACEMENT OF DSTATCOM FOR VOLTAGE SAG MITIGATION(Voltage sag has been considered as one of the most harmful power quality problem as it may significantly affect industrial production. This paper presents an Artificial Neural Network (ANN) based approach for optimal placement of Distribution Static Compensator (DSTATCOM) to mitigate voltage sag under faults. Voltage sag under different type of short circuits has been estimated using MATLAB/SIMULINK software. Optimal location of DSTATCOM has been obtained using a feed forward neural network trained by post-fault voltage magnitude of three phases at different buses. Case studies have been performed on IEEE 14-bus system and effectiveness of proposed approach of DSTATCOM placement has been established)

主要是用R语言进行时序分析，通过一个带有季节效应的例子给出分析过程(R language is mainly used for timing analysis by example is given with a seasonal effect analysis)

提供了广义最小方差控制的MATLAB程序，以及基于广义最小方差控制的自校正控制直接与间接算法的MATLAB程序。(Provides a generalized minimum variance control of MATLAB procedures, and direct and indirect algorithm of self-tuning control based on generalized minimum variance control.)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)