matlab25

题目：已知被控对象为 1/(10s+1)*exp(-0.5s)。假设系统给定为阶跃值r＝30，采样时间为0.5s，系统的初始值r(0)＝0。试分别设计： (1)常规的PID控制器； (2)常规的模糊控制器； 分别对上述2种控制器进行Matlab仿真，并比较控制效果 (Topic: Known charged object is 1/(10s+1)* exp (-0.5s). Assume that the system is given as the step value r = 30, the sampling time of 0.5s, the system the initial values ​ ​ of R (0) = 0. Trial were designed: (1) conventional PID controller (2) conventional fuzzy controller Matlab simulation of the two kinds of controllers, respectively, and compare the control effect)

层次分析法matlab代码；在网上找到了一些好用的层次分析法的代码，挺好用的！(AHP matlab code the Internet to find some useful analytic hierarchy code, very good use!)

两种图像重建质量判定方法，全图熵（ENT）和目标杂波比（Target to clutter ratio）。(Two criterion for image reconstruction,full image entropy and target to clutter ratio)

IOSMAP非线性降维方法，算法正确，可以直接运行(IOSMAP nonlinear dimension reduction method, the algorithm is correct, can be directly run)

NR METHOD FOR POWER SYSTEM

matlab环境下，克里金插值中使用线性方式拟合出的球状模型的变异函数系数(Kriging interpolation using a linear fitting spherical variogram model coefficients in matlab)

说明：  抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

用于计算地震作用下单自由度结构的响应和响应谱(Used to calculate the response and response spectrum of a single degree of freedom structure under earthquake action)

与理论分析结果相比，小波包分析提取振动信号中的特征频率，最小均方误差等算法的MSE的计算。( Compared with the results of theoretical analysis, Wavelet packet analysis to extract vibration signal characteristic frequency, Minimum mean square error MSE calculation algorithm.)

随便编写的，我刚学matlab图像处理，这是我的学习程序(Just write, I just learning matlab image processing, this is my learning process)