poupiu_v15

应用matlab中的simulink仿真环境实现由三相正弦波产生PWM波形的仿真实验。(Application of matlab in simulink simulation environment arising from the three-phase sine wave PWM waveform simulation.)

通过滑动取相关值最后求最大值，找去最佳的样值抽样时刻，完成时间估计。这是一些基础的程序 (Through the sliding value of the final order to check the relevant maximum, to the best kind to find the value of sampling time, the estimated completion time. These are the basis of the procedures)

涉及故障诊断方面的故障检测观测器，附有参考文献(fault detection filter in the fault diagnosis area, with a reference paper)

很有用的资料，智能信息处理相关程序，希望对大家有用！！！！！！！！！！(very good！！！！！111)

说明：  模糊聚类算法，里面包含了空间负荷预测的一些样本数据。文件比较齐全，可以使用。(FCM. It contains some sample data for space load forecasting.)

DFIG PID CONTROL ,MODELING DFIG IN STATE SPACE MODELAND CONTROL WITH PID CONTROL

L-DE是一个“几何”差分演化差异,其行为不根据坐标系统。(L-DE is a "geometrical" Differential Evolution variant, whose behaviour is not depending on the coordinate system. )

it is about matlam m file useing in matlab

说明：  在matlab中实现巴特沃斯低通滤波器as=70 Fs=15000 Fp=9000 (butterworth lowpass filter as=70 Fs=15000 Fp=9000 )

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)