Fuzzy_PI_Controller_2nd_order_sys

混沌模型的Matlab演示程序，这是Rossler、Julia、Lorenz、Mandlebrot函数的Matlab程序(Chaos model Matlab demonstration program, which is Rossler, Julia, Lorenz, Mandlebrot function of Matlab procedures)

说明：  一种构建BA无标度复杂网络模型的matlab代码，(Construction of a BA scale-free complex network models matlab code)

2机5节点系统，可实现简单牛拉法，快速解耦法迭代潮流计算(2-machine 5-node system can realize simple Niula method and fast decoupling method to iterate power flow calculation)

io重叠中的完成实例模型，典型代码，ioCallBack源码(io complete overlap in the model example of a typical code, ioCallBack source)

说明：  svd 分析 奇异值分解 信号处理常用程序算法(svd analysis)

说明动态规划中维数灾问题,仿真结果非常完整(the dimension disaster of dynamic programming)

手动选取干涉图中的条纹，并自动追迹所选条纹的中心。(Manually fringes, and automatically track fringe Center)

将ELCentro波的加速度时程转换成速度、位移时程(Converting the acceleration time history of ELCentro wave into velocity and displacement time history)

本文件为《matlab有限元结构动力学分析与工程应用》一书对应的全部源文件文件(This document is the " matlab finite element structural dynamics analysis and engineering application," a book of all the source files corresponding to)

实现9/7小波正反变换 注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同） 注2： 为了保证正交，所有边界处理，全部采用循环处理 注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质） 注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置 注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换 注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致 注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵 注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少 注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性 注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化 注11：d为对偶上升，即预测；p为原上升，即更新(Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different) Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property) Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix Note 8: Wavelet transf)