serial

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

基于比例积分微分控制的永磁同步电机直接转矩控制仿真(Permanent Magnet Synchronous Motor Direct Torque Control Simulation of PID control)

聚类分析的matlab函数,内部有详细说明(Cluster analysis of the matlab function, has a detailed description of internal)

the function of tSNE_matlab

格基约减下的zf(迫零检测)算法，适用于多输入多输出系统(lattice reduction aided ZF algorithms)

二级倒立摆系统采用极点配置的方法控制，系统达到平衡。(Double inverted pendulum control using pole placement method, the system in balance.)

这个是关于小波变换，对图像增强介绍的文章，共大家参考研究、使用。(This is the wavelet transform, image enhancement described in the article on the total of your reference and use.)

kalman滤波器的Matlab验证，以及迭代算法的实现(kalman filter Matlab validation, and iterative algorithm)

Noise estimation for speech enhancement

用迭代法解微分方程。例程中是以buck电路为应用对象，使用滑模算法进行控制。(Iterative method for solving differential equations)