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说明：  自适应控制算法的另一个Simulink模型，可运行，是无模型参考控制算法的一个应用实例(Adaptive control algorithm to another Simulink model to run, there is no model reference control algorithm of an application example)

nonlinear control jalase8

自己写的模糊PID的simulink文件(simulink fuzzy PID)

北京交通大学侯忠生教授的无模型自适应控制的实际应用和理论研究应用，详细介绍了无模型自适应控制的主要应用领域。附录为无模型自适应控制书中的MATLAB程序代码，运行可以复现书中的仿真图。(Professor Hou Zhongsheng of Beijing Jiaotong University introduced the practical application and theoretical research application of model-free adaptive control, and introduced the main application fields of model-free adaptive control in detail. Appendix is the MATLAB program code in the model-free adaptive control book, which can be run to reproduce the simulation diagram in the book.)

实现了灰色理论在关联度识别方法在matlab中的应用(Grey achieved recognition in the correlation of in matlab)

说明：  基于matlab得计算两幅图像的互信息得程序。(Matlab calculation based on two images of each other may have to process information.)

说明：  我写的matlab 的ar模型代码，很实用，希望对你有帮助(I wrote the ar model matlab code, very useful, want to help you)

分数阶Lu系统实现,即如何由matlab来实现.(fractionalorderlusystem)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

移动HURST指数计算移动HURST指数计算移动HURST指数计算(move hurst index move hurst index move hurst index )