1588test_result

matlab算法第11章内容其他部分陆续上传中请稍后(matlab algorithm for the content of other parts of Chapter 11 in succession, please upload later)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

是本科毕设的题目，多机电力系统仿真及其潮流计算，esprit算法对有干扰的信号频率进行估计。( The title of the commercial is undergraduate course you Multi-machine power system simulation and flow calculation, esprit algorithm signal frequency interference can be assesse.)

这是一个有预测功能的程序，还没有进行优化，可供大家作为基础来加以改进，但是大概的预测方向都是准确的(This is a prediction function of the procedure have not yet optimized for the U.S. used as the basis to be improved, but perhaps the direction of the prediction is accurate)

说明：  利用matlab的实现分数阶的相图，实现绘制，可应用于分岔。(Using MATLAB to realize the fractional order phase diagram.)

kaplan-Meier估计,在可靠性数学中有一定的帮助，不知道能不能对大家有一些帮助，如果有错误，希望大家指正，并与我交流！(kaplan-Meier estimates, the reliability of mathematics is certainly helpful, not sure you can right some help, and if there are mistakes, we hope that correct, and I exchange with!)

enhancement for fingerprint

ieee14节点模型的潮流计算，使用的是牛顿法潮流计算。使用禁忌搜索进行系统的无功优化。(trend ieee14 node model calculations using Newton s method flow calculation. Reactive power optimization using tabu search)

说明：  Matlab关于FFT算法的编程及原理详细讲解！(Matlab programming on the FFT algorithm and principle explained in detail!)

som nemericals eith matlab examples