simulation_with_GPC

LMS自适应滤波的演示程序 LMS自适应滤波的演示程序(LMS adaptive filtering LMS adaptive filtering demo demo)

在matlab环境下编写的非线性控制工具箱,希望对大家有用(Written in the matlab environment, nonlinear control toolbox, we hope to be useful)

基于GA-PSO算法，包含程序和数据，还有word说明！！！(Based on the GA-PSO algorithm for prediction! ! !)

empirical mode decomposition

说明：  这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类(the source how to use a Gaussian mixture model to do imaging Identification Classification Model)

本程序的功能是：实现惯性导航参数的自标定过程。(Realize the self-calibration process of inertial navigation)

geometric shape modeling2

matlab中的谐波阻抗等值计算程序 以9节点算例为例子进行验算的程序(matlab harmonic impedance calculation procedures equivalent to 9 nodes examples checking procedures carried out as an example)

一个简单卡尔曼滤波的例程，国外网站下载的，m文件详细说明了卡尔曼滤波器的设计过程(A simple Kalman filtering routines, Abroad website)

platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)