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产生两个均值为m,方差为sgma的高斯随机变量，当输入参数只有一个时，认为均值为0。(mean to have two m, sgma variance for the Gaussian random variables, when only one input parameters, that the mean of 0.)

交流伺服系统中的死区效应分析与补偿分析了逆变器的死区效应产生的原因及其对交流伺服系统控制性能产生的影响,指出死区补偿的关键 在于电流相位的获取,为了克服实际系统中电流零点的模糊性,提出了一种基于两相静止坐标系下的前馈死 区补偿方法. 该方法通过对三相输出电流一个周期内补偿电压进行傅里叶变换,发现仅需补偿1 ,5 ,7 次谐波 分量即可消除死区效应. 仿真和试验结果验证了这种方法的正确性和可行性.(AC servo system analysis and compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the AC servo system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.)

将多项式转化为向量，很方便你的使用啊学习matlab的童鞋们不用担心了(Into the polynomial vector, it is easy to use you ah)

说明：  这是书上的代码，C/C++中调用Matlab引擎的数值仿真的实现，供大家参考 (This is the code book, C/C++ Calling Matlab Engine Numerical Simulation for reference)

对 matlab simulink 基础做了比较详细的说明(matlab simulink conference)

对双线性时滞系统进行T-S模糊控制，满足系能指标，鲁棒控制(Bilinear time-delay system for TS fuzzy control system able to meet the targets, robust control)

非常有用的遗传算法程序，包含主程序和子程序，用matlab编写，适合学习和改编，里面有详细的注释。(Very useful genetic algorithm program, including the main program and subprograms, written matlab, suitable for learning and adaptation, there are detailed notes.)

simulink/matlab 实现求实数平方根(using simulink to calulate the sequare root of the integer)

该程序可用于求解一维激波管的解析解。压缩包文件包含3个matlab程序，用户可以改变初始条件获得一维激波管某时刻下的物理状态。(this matlab codes is developed for solving shock tube problem with one dimenssion)

说明：  利用人工势场法进行移动机器人的路径规划的matlab程序。包含具体的讲解(Matlab program of path planning of mobile robot using artificial potential field method. Contains specific explanations)