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Matlab各编程应用实例，并包含正交函数、曲线拟合、回归分析等。(Application of the Matlab programming, and includes orthogonal function, curve fitting, regression analysis.)

说明：   已知某控制系统结构图如下所示,要求设计校正环节G(s),使系统对于阶跃输入的稳态误差为零。使系统校正后的相角裕量γ≥45°，幅值裕量kg≥10db。(Known structure of a control system as shown below, links to design correction G (s), allowing the system to step input for the steady-state error to zero. The system after correction phase margin γ ≥ 45 °, the amplitude margin kg ≥ 10db.)

this document deescribed step by step approach to learn matlab programming easy and efficient way for beginners

M02 Matlab软件与微分方程模型.pdf对数学建模进行基本的描述( mathematical contest in modeling materials, mathematical modeling and mathematical experiment (jing), the second about six hours in mathematical software introduction to MATLAB 2 and 1 )

：根据内蒙古四子王旗某地2007年逐月平均风速袁选取设计风速为6m／s，根据某型号300 W交流永磁发电机的输出功率特性。利用Matlab编写的叶片优化设计程序，设计了300W水平轴风力发电机叶片。通过风轮与发电机的匹配，调整叶片参数，使之在小风时具有较高的风能利用系数，提高风力机的效率，在大风时具有较低的风能利用系数，从而达到大风时限速保护的目的。(: According to Inner Mongolia as a 2007 monthly average wind speed Yuan select the design wind speed to 6 m/s, according to a Model 300 W output power characteristics of permanent magnet alternator. Leaves written in Matlab to optimize the design process, design 300W horizontal axis wind turbine blades. The wind wheel generator matching adjust the blades parameter, so that has a high wind energy utilization coefficient of small wind, improve the efficiency of the wind turbine in high winds has a lower coefficient of wind energy utilization, so as to achieve high winds speed limit protection purposes.)

目标因子分析,用于找主因子数，由例子能清晰明了的理解(Target factor analysis, the number of factors used to find the Lord, by the example of clarity of understanding can)

说明：  MGM(1,1)模型预测及精度检验，可直接使用(MGM (1,1) model prediction and accuracy test can be used directly)

说明：  matlab中的关于解方程方面的例子和程序(matlab on solving equations in terms of examples and procedures)

I found this paper regarding to LPR interesting and I would like to share it.

具有新的模拟进化优化方法的有效性和应用价值的一群算法的matlab实现(Matlab implementation of the new analog evolutionary optimization approach the effectiveness and value of a group of algorithms)