three

说明：  最优控制的一些算法,用MATLAB编程,用几种算法比较求取最优的方法.(Some optimal control algorithm, using MATLAB programming, compared with several algorithms to seek the best approach.)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

基于图的半监督学习算法，matlab代码。。。。(Semi-supervised learning algorithm based on graph, matlab code. . . .)

lms自适应算法实现谱线增强，通过该算法可以实现过滤宽带信号，保留窄带信号(LMS adaptive line enhancement algorithm, the algorithm can be achieved through filtering of broadband signals, narrowband signals retained)

坐标的3/2变化模块以及PARK CLARK 反变换(PARK/CLARK)

用Newmark直接积分算法分析61杆桁架结构的动力学特性。(Conduct the dynamic response analysis for the 61 trusses structure by Newmark.)

Simulating an M/M/1 queue

ERSTUDIO資料建模工具的学习资料，不错。 (ERSTUDIO data modeling tool of learning materials, good.)

基于matlab2013a的simulink仿真，包括改进型插入式重复控制、pdff以及电机矢量控制仿真程序，为达到好的效果有些参数需要自己调试，希望大家的学习有所帮助～。(Based matlab2013a the simulink simulation, including improved plug-in repetitive control, pdff and motor vector control simulation program, in order to achieve good results and some parameters need to own debugging, we hope to learn some help ~.)

数学建模-第一节无约束最小化Mathematical Modeling - Section unconstrained minimization(Mathematical Modeling- Section unconstrained minimization Mathematical Modeling- Section unconstrained minimization)