PID

光伏发电仿真程序，含有MPPT算法，仿真效率很高!(PV simulation program, with MPPT algorithm, the simulation very efficient!)

基于matlab平台的编程 实现pcm 编码的功能(the file is based on the matlab and it has the function of pcmcoding )

将Quaternion四元素坐标系转换为一般的欧拉角坐标系，避免采用反三角函数导致的值域限制问题。参数xi为搜索的精度，对于每个欧拉角可以分别设定，xi越小，搜索越精确。(Quaternion quaternion coordinate system will be converted to general Euler angle coordinate system, avoiding the use of inverse trigonometric functions due to range limitations. The accuracy of the search parameter xi, for each Euler angle can be set separately, xi smaller, more accurate search.)

数学建模竞赛常用算法的matlab例子，遗传工具箱 贪婪算法 遗传算法 文件数据处理(Mathematical Contest in modeling of commonly used algorithm matlab example)

利用matlab软件编写模糊聚类算法，将脑叶图片不同像素点分离(Software written using matlab fuzzy clustering algorithm, the lobe separation of different pixel images)

这是Cisco中mpls-lab的比较好的参考资料，希望对大家有帮助。(This is the Cisco in the mpls-lab comparison of a good reference to all of us want to help.)

Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2 + x*exp(sin(2x)), for − 6 <= x <= 6(Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2+ x*exp(sin(2x)), for − 6 <= x <= 6)

Solving Applied Mathematical Problems with MATLAB chapitre 3

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

its image compression