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power wind dfig matlab simulink

《MATLAB图像处理实例详解》源代码 第二章( MATLAB image processing example explanation Source Code Chapter II)

介绍基于matlab进行拟合和插值的方法(Description based on matlab fitting and interpolation method)

IMPLEMENTATION OF A ROBUST CONTROLLER

说明：  频偏校正估频算法的实现，Matlab函数。(Estimated frequency offset correction algorithm, Matlab function.)

BTC的基本方法，并且编程实现，显示、观察编码后的图像，分析比较压缩性能。(the basic methods and programming, show that the observed image coding, compression performance analysis and comparison.)

基于MATLAB Simulink的电力电子技术的仿真模型，包括：整流电路、逆变电路、直直电路、交交电路、PWM控制电路等。与《电力电子技术》机械工业版配套，包含书中所有的仿真算例。(Simulation model of power electronic technology based on Simulink MATLAB, and the mechanical industry version of power electronics technology , including all the simulation examples in the book.)

这是一个matlab关于模型预测控制的例子，主要是一个机械转台的控制仿真，希望对学习模型预测控制的同学有帮助(This is an example matlab on model predictive control is mainly a mechanical turntable control simulation, in the hope of learning model predictive control to help students)

该算法利用卡尔曼滤波技术实现惯性导航与GPS组合导航(The algorithm uses the Kalman filtering technique to achieve inertial navigation and GPS Navigation)

《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.)