GAOTPID

本代码为牛顿-SOR迭代法求解非线性方程组。其调用格式为[r,m]=mulNewtonSOR(F,x0,w,h,eps) 其中F:方程组，x0：方程组初始解，w：SOR迭代因子，h：数值积分常数，eps：根的精度，m：迭代步数。(The code for the Newton-SOR iteration method for solving nonlinear equations. Its call format [r, m] = mulNewtonSOR (F, x0, w, h, eps) where F: equations, x0: the initial solution of equations, w: SOR iterative factor, h: numerical integration constant, eps: the root of the accuracy, m: the number of iterative steps.)

分数阶控制器，分数阶神经网络，人工智能,，MATLAB程序(It is convenient to solve large LMI quickly, and it is suitable for students of engineering control engineering to use fractional order controller, fractional order neural network, artificial intelligence, and MATLAB program.)

说明：  遗传算法的详细过程，对初学者很有用希望对需要的人能有帮助(The detailed process of genetic algorithm, useful for beginners who want to need to have help)

《系统辨识与自适应控制MATLAB仿真》的程序代码，有很高的参考价值。(MATLAB simulink)

在使用无线传感器接收数据，在matlab平台上建立GUI界面时，使用的GUI串口通信的程序，用于读取无线传感器的数据(Receiving data using a wireless sensor, built on the matlab platform GUI interface, use the GUI serial communication program for reading data from wireless sensor)

Alternate CPU1 startup vector for BMIPS4350.

read miniseed seismic data into matlab

这是在matlab下实现的包络检波算法。先对信号进行调制，然后进行包络检波。(This is achieved under matlab envelope detection algorithm. First signal modulation, and then proceed to the envelope detector.)

利用pca计算出两个统计量，通过对统计量的大小比较以判定故障是否发生。(Pca is calculated using two statistics, by comparing the size of the statistic to determine whether the fault occurs.)

共振解调的过程如下：首先对采集到的信号进行傅里叶变换，然后利用传感器自身的谐振频率进行分析，对滤波后的信号进行包络，包络以后去除了高频部分，得到包络信号，再对改进的包络信号进一步进行低通滤波，最后对最终得到的信号进行傅立叶变换求其频谱图。共振解调的原理及其过程可以用图2 来进行表述。(The process of resonance demodulation is as follows: First, Fourier transform is performed on the collected signal, and then the resonance frequency of the sensor is used for analysis. The filtered signal is enveloped, and the high frequency part is removed after enveloping to obtain an envelope. The signal is further subjected to low-pass filtering on the improved envelope signal. Finally, the spectrum of the resulting signal is Fourier-transformed. The principle of resonant demodulation and its process can be expressed in Figure 2.)