intelligent_control_modle

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:277KB
下载次数:4000
上传日期:2008-07-24 22:09:47
上 传 者hcnden
说明:  本人调试的大作业(源程序模型+论文),主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制(使用了遗传工具箱GAOT)对同一系统所作的仿真比较,并加入饱和、死区、时滞等非线性后的响应,具体的分析比较过程论文中写的很详细。
(I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.)

文件列表:
智能控制大作业\智能控制.doc (317440, 2008-07-07)
智能控制大作业\gaot\adjswapMutation.m (1419, 2007-03-26)
智能控制大作业\gaot\arithXover.m (1487, 2007-03-26)
智能控制大作业\gaot\b2f.m (1495, 2007-03-26)
智能控制大作业\gaot\binaryExample.m (2080, 2007-03-26)
智能控制大作业\gaot\binaryMutation.m (1504, 2007-03-26)
智能控制大作业\gaot\boundaryMutation.m (1639, 2007-03-26)
智能控制大作业\gaot\BPNET.m (517, 2007-03-26)
智能控制大作业\gaot\BPNETFH.m (862, 2007-03-26)
智能控制大作业\gaot\calcbits.m (1382, 2007-03-26)
智能控制大作业\gaot\Contents.m (4761, 2007-03-26)
智能控制大作业\gaot\coranaEval.m (1451, 2007-03-26)
智能控制大作业\gaot\coranaFeval.m (1538, 2007-03-26)
智能控制大作业\gaot\coranaMin.m (1222, 2007-03-26)
智能控制大作业\gaot\cyclicXover.m (1654, 2007-03-26)
智能控制大作业\gaot\delta.m (1471, 2007-03-26)
智能控制大作业\gaot\dists.m (6837, 2007-03-26)
智能控制大作业\gaot\EER.m (1586, 2007-03-26)
智能控制大作业\gaot\enhancederXover.m (2348, 2007-03-26)
智能控制大作业\gaot\erXover.m (2118, 2007-03-26)
智能控制大作业\gaot\f2b.m (1501, 2007-03-26)
智能控制大作业\gaot\floatExample.m (2322, 2007-03-26)
智能控制大作业\gaot\floatGradExample.m (2137, 2007-03-26)
智能控制大作业\gaot\ga.m (10805, 2007-03-26)
智能控制大作业\gaot\gabpEval.m (453, 2008-07-04)
智能控制大作业\gaot\GABPNET.m (1508, 2008-07-04)
智能控制大作业\gaot\GABPNET.asv (2644, 2008-07-04)
智能控制大作业\gaot\GABPNETFH.m (864, 2007-03-26)
智能控制大作业\gaot\gadecod.m (821, 2008-07-04)
智能控制大作业\gaot\gadecod.asv (825, 2007-03-27)
智能控制大作业\gaot\gademo.m (4213, 2007-03-26)
智能控制大作业\gaot\gademo1.m (3887, 2007-03-26)
智能控制大作业\gaot\gademo1eval1.m (1275, 2007-03-26)
智能控制大作业\gaot\gademo2.m (2840, 2007-03-26)
智能控制大作业\gaot\gademo3.m (6262, 2007-03-26)
智能控制大作业\gaot\gaMichEval.m (193, 2007-03-26)
智能控制大作业\gaot\gaotv5.ps (132728, 2007-03-26)
智能控制大作业\gaot\gaZBGrad.m (174, 2007-03-26)
智能控制大作业\gaot\gaZBGradEval.m (684, 2007-03-26)
智能控制大作业\gaot\heuristicXover.m (2136, 2007-03-26)
... ...

This directory contains the Genetic Algorithm Optimization Toolbox for Matlab 5. To use this, if you are local to NCSU and have AFS access to this directory, simply extend the matlab path using the following command. You can also place this command in a file called startup.m. Everytime you start Matlab in the directory containing this file, the path will always be extended. >>path(path,'/afs/eos/service/ie/research/kay_res/GAToolBox/gaot'); Otherwise, install the .m files into a directory named gaot and extend the matlab path to that directory. The compressed tar archive and the zip file should automatically create the gaot directory for you. The companion paper describing this toolbox is included here as gaotv5.ps. The paper, the three demo files, gademo1.m gademo2.m gademo3.m, and four example scripts, binaryExample, floatExample, floatGradExample, and orderbasedExample, should be sufficient explanation of this toolbox. For any questions, comments, suggestions send mail to jjoine@eos.ncsu.edu. For a list of the files in the tool box get help on gaot. Thanks for trying the toolbox.

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