gaPID

这里包含信号处理的经典的matlab 实例(This includes the classic signal processing matlab examples)

上传的代码是有关模式识别中的分类实现，并且在坐标系中画出分类线。(Upload code is related to pattern recognition classification implementation,and sorting line drawn in the coordinate system.)

NSGA2优化算法，最基础的通用算法，简单易懂。(NSGA2 optimization algorithm, the most basic common algorithm is simple and easy to understand.)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

说明：  可以将信号很好的进行LMD分解，很好用，自己试试看(The signal can be well decomposed into LMD)

MATLAB GUI设计学习手记（第二版）源程序 第9章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) source learning methods recommended in Chapter 9 of the book: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

说明：  基础隔震结构简化成串联多质点系计算动力响应，隔震支座采用Bouc-wen模型模拟，用Newmark逐步积分法计算。(Base isolation structure is simplified into a series multi-particle system dynamic response, isolators using Bouc-wen model simulation, calculated using the Newmark direct integration scheme.)

粒子滤波算法；粒子滤波算法源于Montecarlo的思想，即以某事件出现的频率来指代该事件的概率。因此在滤波过程中，需要用到概率如P(x)的地方，一概对变量x采样，以大量采样的分布近似来表示P(x)。因此，采用此一思想，在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。(these codes are particle filter resources codes which solve non-linear estimation problems.I wish that it is helpful to some people.I am glad to share it with others. )

图像的光流法计算的matlab程序,有循环检测，周期性检测，感应双馈发电机系统的仿真。( Image optical flow calculation matlab program, There are cycle detection, periodic testing, Simulation of doubly fed induction generator system.)

matlab语言 用于自适应性控制,北航《系统辨识与自适应控制MATLAB仿真》.(the language of matlab，the code is used for adaption control.)