Application_in_FPGA_design_of_Matlab_simulink

A FUZZY PI CONTROLLER APPLICATION IN BOILERS OF THERMAL POWER PLANTS

说明：  基于matlab平台实现机器人的运动学分析，并给出相关结果。(The kinematics analysis of the robot is realized based on MATLAB platform, and the relevant results are given.)

pspice 与 matlab 接口的使用说明 (slps for pspice and matlab)

design avr loop with simulink

matlab hann hamming window FFT DFT DTFT

初学者可以参考一下 作为MATLAB的入门教程与实践(Beginners can refer to as the entry MATLAB Tutorial and Practice)

.附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

pwm整流器仿真模型，可控整流，自搭，好用(pwm rectifier simulation model, controllable rectifier, self-ride, easy to use)

信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法(Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement method)

使用matlab 中最基本的语言实现的BP神经元网络算法(Use the most basic language matlab realize the BP neural network algorithm)