Qlearning

三级倒立摆的稳定， 使用三种鲁棒控制设计，详细的注解说明和simulink仿真。(The stability of triple inverted pendulum, the use of three kinds of robust control design, detailed descriptions and simulink simulation annotation.)

说明：  OFDM的simuink仿真，可以指导你怎样搭建OFDM通信系统的框架。(OFDM simuink simulation can guide you how to build OFDM systems framework.)

DEMO MSER WITH DATA OF IDCAR 2015

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

说明：  利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积(The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classification features calculated for each share of area)

Dijktra s single source shortest path algorithm. The function takes a graph (which may be sparse) as an input and returns the matrix of shortest distances between all of the nodes. Additionally, individual source and sink nodes may be specified as additional arguments.

这5个小程序分别为：用Monte Carlo随机法圆柱相交体的体积；用刘徽割圆法计算pi；梯形法.辛普森法计算圆周率；蒲丰掷针实验程序；线性函数的迭代(This five small programs were: using Monte Carlo random method cylinder intersects the volume cyclotomic method with Liu Hui pi trapezoidal method Simpson method to calculate pi Buffon throw needles experimental procedures linear function of iteration)

swat模型的手动参数调节程序，运用matlab界面进行控制(this zip includes several .m files, which is used for manual calibration for SWAT model)

matlab的常用指针表，综合辅导与指南，符号语言工具箱(matlab common pointer table, comprehensive counseling and guidance, sign language toolbox)

一个非常好的时间序列工具箱，详细使用说明见P. M. T. Broersen, Automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216. (a very good time series toolbox, detailed description of the use of P. T. M. Broersen. Automatic Spectral Analysis with Time Series M odels. IEEE Transactions on Instrumentation and Meas urement, Vol. 51, No. 2, April 2002, pp. 211-216.)