用混沌微粒子算法整定PID控制器matlab的代码

matlab基础训练题及答案，矩阵运算等适合初级学习者。(the simple exercise of matlab,for new learner)

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

try this and get enjoy friends....

波动率预测模型；期权定价；未来期权波动率预测(local volatility model (hestion calibration))

Burg外推算法，采用matlab实现，调试通过，希望对大家有用(Burg algorithm complishede with matlab)

Matlab环境下使用霍夫变换在二值图像上检测圆形的代码(Function uses Standard Hough Transform to detect circles in a binary image.)

旅行商的问题，用遗传算法来求的最优解，用matlab来实现。(Traveling salesman problem, using genetic algorithms to seek the optimal solution, using matlab to achieve.)

系统介绍了MATLAB7.0的基本功能，并设计了丰富的实例(MATLAB7.0 system introduced the basic functions and design a wealth of examples)

S-curve simulation in matlab

PID模糊控制，matlab 运行仿真，实现模糊控制的PID参数优化(PID fuzzy control, Matlab run the simulation, PID parameter optimization of fuzzy control)