power_switching

英文描述特征值 的计算 定义 便于理解 为矩阵运算提供 帮助(eigenvalue)

一个遗传算法工具箱，很好用的。一种改进的遗传算法(A genetic algorithm toolbox, very good use. An Improved Genetic Algorithm)

利用 matlab进行数字图像矩阵数据的显示及其傅立叶变换(the show of digital picture )

潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算潮流计算(chaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuanchaoliujisuan)

三相逆变并网，采用全前馈能有效抑制谐振。(Three-phase inverters connected to grid can effectively suppress resonance by using full feed-forward.)

说明：  有三种算法，分别是cmeans、fcm和som等对如iris和usps等数据的聚类。(There are three algorithms, cmeans, FCM and SOM to cluster data such as iris and USPS.)

说明：  matlab二值图像的数学形态学变换函数(Matlab binary image of morphologic transform function)

matlab时频分析配套源码第3章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 3, please share)

power_triphaseline.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_triphaseline.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)