GM

source code for implementing Genetic Algorithm for a single objective function

简化的AUV的6自由度运动仿真程序，使用龙哥库塔法。(a simplified auv model,a matlab example)

PAPERS ON DYNAMIC VOLTAGE RESTORER

这是一个关于非线性信息处理技术的文档；里面包括logistic映射、lorenz、rossler等混沌经典方程的程序和matlab仿真结果；还包括求分形w-m函数的维数的半方差法忽然R/S方法(This is a non-linear information processing on the document which includes logistic map, lorenz, rossler chaotic classical equations such as the procedures and matlab simulation results also includes wm seeking function of the fractal dimension of a sudden half of variance R/S method)

Program based on rayleigh fading channel with 2Rx MIMO and finding Minimum mean square equalization

用周期循环检测算法检测： 首先运行a.m程序，通过此程序运算得出循环频率a值； 再运行zhouqi.m程序，对a值进行确定，通过周期循环算法对信号进行检测； (With cycle detection algorithm to detect: First run am program, through this program computing a value obtained cyclic frequency zhouqi.m then run the program, for a value determined by the cycle algorithm of signal detection )

= lorentzfit （× ） lorentzfit 符合输入（× ）与罗伦兹功能的形式 “ （× ）= 1 / （（- 2）^ 2 + 3号） 输入 ：因变量值[ 是] （× ） × ：独立变量的值 输出功率 一：名单[ 1 2 3 ] 罗伦兹参数 示例 × = - 16:0.1:35 = 19.4 / （（- 7）^ 2 + 15.8）+ randn （大小（× ）/ 10 ） = lorentzfit （× ） 杰瑞德·威尔斯 11 / 15 / 11 杰瑞德威尔斯[ 点] [在] [ 点] 教育公爵(a = lorentzfit(y,x) LORENTZFIT fits the input Y(X) with a Lorentzian function of the form Y (X) = A1./((X- A2).^2+ A3) INPUTS Y : Dependent variable values [Y(X)] X : Independent variable values OUTPUT A : List of Lorentzian parameters [A1 A2 A3] EXAMPLE x =-16:0.1:35 y = 19.4./((x- 7).^2+ 15.8)+ randn(size(x))./10 a = lorentzfit(y,x) Jered R Wells 11/15/11 jered [dot] wells [at] duke [dot] edu)

Base paper is regarding robust face recognition

说明：  模型预测控制simulink仿真程序，与PID做对比，验证MPC的优越性。(Model predictive control simulink simulation program, compared with PID, verifies the advantages of MPC.)

这里描述了模糊聚类的一些方法，书为英文，但是内容很充实，有例子给出应用说明。(Here describes a number of fuzzy clustering methods, the book is English, but the content is very substantial, there are examples of application notes are given.)