GramChmitt

智能控制的应用2 基于模糊控制的控制器仿真 简单易懂 功能强大(intelligent control of two based on fuzzy controller to control the simulation is simple to understand the powerful)

常规波束赋形代码，对于初学者具有一定的参考价值(Conventional beamforming code, has a certain reference value for beginners)

状态反馈预测控制的仿真源码，输入参数可以直接进行仿真(State Feedback Predictive Control source of emulation, simulation input parameters can be directly)

根据书本的理论，自己动手编写了MPEG-2的实现算法，编译可通过(MPEG-2)

This code is used to create input files for the 2D FEM solver used in ME 413 course. It uses the freely available mesh2d mesh generator to create the mesh.

关于模糊PID的仿真以及与普通PID的结果比较(Simulation comparison of fuzzy PID)

说明：  刘金琨 智能控制第四版 matlab例程(The fourth edition of Liu Jinkun's Matlab routine for intelligent control)

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

Henon吸引子是混沌和分形的著名例子,迭代模型为xk+1=1+ax2k+byk,yk+1= xk.最常见的参数取值为a=1.4,b=0.3 .(The Henon attractor is chaotic and fractal famous example of the iterative model xk+1 = 1+ ax2k+ byk yk+1 = xk. The most common parameter values ​ ​ a = 1.4, b = 0.3)

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