StateSpaceProject

this code contain function and simple program for voice pattern recognition using MELCEPST

数学里的免疫算法，利用matlab编制的(Immune algorithm)

电动汽车充电负荷预测，采用蒙特卡洛模拟方法matlab进行编程(electric vehicle charging load)

使得最近打开的MATLAB图形开始下雪，如果没有已经打开的窗口，则首先创建一个窗口。(LETITSNOW- Make the figure snow! Usage: ------ letitsnow - Create snow in the CURRENT figure. If no figure exists, an empty figure will be created. letitsnow(figure_hdl) - Create snow in the figure represented by figure_hdl letitsnow(figure_hdl, color)- Create snow with the specified color color is a scalar ranged 0~1)

该文件是间接式双级矩阵变换器的开环仿真模型。输出结果符合理论推导。采用s函数编程的方法实现空间矢量调制策略(This file is indirect two-stage matrix converter of the open loop simulation model. Output the results accord with theoretical derivation. The s function programming method of space vector modulation strategy. )

Switching-mode DC-DC buck converters

music算法的测试程序，包括不同的波长信号，不同采样点数，不同的阵列形式(music algorithm testing procedures, including different wavelengths, different sampling points, a different form of an array)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

说明：  基于matlab程序，对普通PID控制和模糊自适应PID控制进行仿真(Based on MATLAB program, the general PID control and fuzzy adaptive PID control are simulated)

the code shows the step response of a closed loop system the code shows the step response of a closed loop system the code shows the step response of a closed loop system