sa_Ex3_2

文件中有11个文件夹，每个文件夹中含有十个左右实际工程例子的MATLAB实现PID算法的源代码(The Files has 11 folders, each folder contains about ten examples of practical engineering problems that MATLAB source code to solve PID algorithm )

用SRP-PHAT这个方法进行单个声源进行定位。并且举例说明(Single source locationing algorithm using SRP-PHAT with SRC_srplems)

一维高斯积分程序 有三个文件 一个用来定义被积函数 一个是获得积分的和权 一个一用来计算区间上的高斯积分(one dimension Gaussian integral program there are three main files one is for the definition of the integral funciton one is to get the points and weight one is to abtain the Gauss integral)

该文件基于Matlab的GUI界面设计了6自由度串联机器人的运动学、动力学和轨迹规划的算法，用户可以计算PUMA560型的机器人的正逆运动学，正逆动力学和指定的轨迹规划，同时可以动画显示机器人点对点的运动路线。该程序可进行二次开发，用户可根据机器人模型的不同修改参数，针对自身模型进行运动学、动力学和轨迹规划的计算与仿真。(Based on the GUI interface of matlab, this paper designs an algorithm for kinematics, dynamics and trajectory planning of 6-DOF serial robot. Users can calculate the forward and inverse kinematics, forward and inverse dynamics and specified trajectory planning of PUMA560 robot. At the same time, they can animate the point-to-point motion path of the robot. The program can be redeveloped. Users can modify parameters according to different robot models, and calculate and simulate kinematics, dynamics and trajectory planning of their own models.)

这里面是递推阻尼最小二乘辨识算法，主要用于系统辨识，参数估计，非线性系统建模以及系统工程领域。(There is a recursive damped least squares identification algorithm, mainly used for system identification, parameter estimation, nonlinear system modeling and system engineering.)

标量积算法反演雷达海浪图形的反演算法，可得到各种海流参数(Scalar wave radar graph algorithm inversion inversion algorithm parameters obtained various currents)

使用capon进行测向，对加过幅相误差的信号进行测向，得出其俯仰角和方位角的误差(Use capon were finding of increased over amplitude and phase error signal to be measured, draw its pitch angle and azimuth error)

系统功率联合分配的matlab仿真算法,提高系统性能(Joint distribution power system matlab simulation algorithm)

说明：  is a small example of how to use a slider and observe and enter the current value in the slider

小电流中性点接地故障，暂态matlab simulink 仿真。(small current short cut problem simulation)