chap9_1

matlab关于电机仿真的实例，对做电机控制的人很有帮助。(MATLAB simulation essence 50 cases of motor)

利用matlab仿真GPS坐标转换，即知道一点的GPS坐标利用测出来的距离俯仰方位信息计算另外一点的GPS坐标。(GPS coordinates conversion using matlab simulation, that is to know that the GPS coordinates use the distance measured from the pitching position information to calculate the GPS coordinates of another point.)

杂草识别，使用gui,代码图像都有，对于做识别杂草很有启发。(Weeds recognition, using GUI, code images have, for identifying weed is very enlightening.)

用黄金分割法来求解函数的极小点，不用求函数的导数，只需进行迭代即可,非精确线搜索技术用于解决极值区间(Golden section method to solve the minimum point of the function, do not seek the derivative of a function, simply iteration can be inexact line search techniques for solving extremal interval)

关于短路仿真的一些源程序同时是有关多目标优化的源程序(Some source of short-circuit emulation is also the source for multi-objective optimization)

本程序为模型预测控制程序的一种，自带实时计算更新模块，完成循环仿真。(This procedure is belong to the model predictive control algorithm, with real-time update module calculation to complete the cycle simulation.)

将矩阵中的元素替换写成function后，带入主程序运行的Matlab源码(Will replace the matrix elements after written function, into the main program running Matlab source)

how to perform 3D plotting with matlab

说明：  含风电机组的配电网可靠性评估算法，用ARMA模型预测风速并确定风速分布(An algorithm for reliability evaluation of distribution network with wind turbines, ARMA model is used to predict wind speed and determine wind speed distribution)

Even though the RAND functions can be useful for generating uniform random numbers, most of the time we will need to model various non-uniform distributions, such as the Normal, Lognormal, Exponential, Gama, and others. In fact, the Uniform distribution arises in a very limited number of applications, so the chances are our worksheet models will rarely deal with this distribution