proj2

博弈论自适应功率控制中的实现，应用于认知无线电和频谱管理领域。(Game Theory Adaptive Power Control in the realization of applied cognitive radio and spectrum management.)

在matlab中读取.dat中的数据，并求取均值和方差。(In matlab to read. Dat the data and obtain the mean and variance.)

该模型描述的是zeta变换器。控制方式为电感电流控制。分析在一组参数下的非线性现象，画出相图，时域图，观察从周期一到周期二最后进入混沌状态(The model describes the zeta converter. Control mode for inductance current control. Analysis in a group of parameters of the nonlinear phenomenon, draw the phase diagram, time domain chart, observation from cycle to cycle a second finally into chaotic state )

Exellent Introduction to Statistics Toolbox 对matlab Statistics Toolbox的非常棒的demo (Exellent Introduction to Statistics Toolbox demo/M-Files: closeDTool.m Force close DFITTOOL (without confirmation dialog) createCarDatabase.m Creates dataset array from Excel file and converts appropriate variables to categorical arrays FuelEconomyAnalysis.m Main analysis script for publishing loadData.m Load all data in directory and create a single dataset modelMPG.m Creates model for MPG based on filter parameters myDistFit.m Distribution fit for MPG (auto-generated, not used in demo) myPlot.m Custom plot for plotting model MPG vs. actual MPG simMPG.m Simulate the model with parameters demo/Excel (.xls) Files: 00dat.xls Fuel economy data for the year 2000 01dat.xls Fuel economy data for the year 2001 02dat.xls Fuel economy data for the year 2002 03dat.xls Fuel economy data for)

说明：  这个程序属于matlab里面的画图功能，里面包含很多小功能(This process belongs to the drawing inside the matlab function, which contains many small features)

计算余弦随机过程的相关函数和功率谱，并且做图示说明(Calculate the cosine correlation function of stochastic processes and power spectrum, and the icons do note)

matlab programming, matlab for beginners. introudction to matlab

利用MATLAB进行铅垂平面有控弹道仿真，并给出参数结果(Vertical plane with MATLAB simulation of controlled trajectory, and the results are given parameters)

NSGA2 解决多目标优化问题，在MATLAB下编程实现，包含注释(A multi-objective optimization)

利用matlab程序编码，实现人工智能训练，并给出实际例子(Matlab program code used to achieve artificial intelligence training, and gives practical examples)