singular-switched-system

solve nonlinear partial differential equation for Pendulum

讲述了模糊PID使用方式和编码程序，可以参考使用(Fuzzy PID describes the use of methods and coding procedures, you can refer to the use of)

说明：  此程序是一个将灰度图象转化为二值图象的程序,手动选择阈值(This program is a the gray image into binary image of the program, manually select the threshold value)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

关于mathematica的国外使用教程 关于mathematica的国外使用教程(course for mathematica)

泊松过程检验验证随机过程是否是泊松过程，运用算法对随机过程经进行检验(Poisson process inspection)

Mathematical methods of optimization and simulation, Development of mathematical model observation flight situation

分型计算李雅普诺夫指数的一个程序，可以参考(Typing a program Lyapunov exponent calculation, reference)

通过对高通滤波器的理解，通过matlab编程，实现了窗函数法高通滤波器滤波(Through the high-pass filter to understand, through matlab programming, achieve a high-pass filter window function filtering)

该程序是由matlab编写的，可实现机器人的神经网络控制的仿真分析。(The program is written by matlab, simulation analysis enables the robot' s neural network control.)