PIDTuningUsingG.A
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：69KB
下载次数：135
上传日期：2007-08-29 01:03:02
上 传 者：
icken
说明： PID控制已经广泛的用于工业生产，但是对于PID参数的获得一直是该控制的难点。本例子为对PID控制有兴趣的人提供一种参考，该PID控制采用遗传算法。
(PID control has been widely used in industrial production, but the PID parameters for the control of access has been difficult. The examples of PID control for those who are interested in providing a reference, the PID control using genetic algorithm.)
文件列表:
PIDTuningUsingG[1].A\GAv.5gold\Contents.m (4761, 1998-04-17)
PIDTuningUsingG[1].A\GAv.5gold\EER.m (1586, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\adjswapMutation.m (1419, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\arithXover.m (1487, 1998-04-15)
PIDTuningUsingG[1].A\GAv.5gold\b2f.m (1495, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\binaryExample.m (2080, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\binaryMutation.m (1504, 1998-04-15)
PIDTuningUsingG[1].A\GAv.5gold\boundaryMutation.m (1639, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\calcbits.m (1382, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\coranaEval.m (1451, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\coranaFeval.m (1538, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\coranaMin.m (1222, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\cyclicXover.m (1654, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\delta.m (1471, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\dists.m (6837, 1998-04-28)
PIDTuningUsingG[1].A\GAv.5gold\enhancederXover.m (2348, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\erXover.m (2118, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\f2b.m (1501, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\floatExample.m (2322, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\floatGradExample.m (2137, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\ga.m (10805, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gaMichEval.m (193, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gaZBGrad.m (174, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gaZBGradEval.m (684, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gademo.m (4213, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gademo1.m (3887, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gademo1eval1.m (1275, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\gademo2.m (2840, 1998-09-08)
PIDTuningUsingG[1].A\GAv.5gold\gademo3.m (6262, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\heuristicXover.m (2136, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\initializega.m (3282, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\initializeoga.m (1561, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\inversionMutation.m (1555, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\linerorderXover.m (1850, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\maxGenTerm.m (1345, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\multiNonUnifMutation.m (1991, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\nonUnifMutation.m (2190, 1998-04-15)
PIDTuningUsingG[1].A\GAv.5gold\normGeomSelect.m (2308, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\optMaxGenTerm.m (1555, 1998-04-14)
PIDTuningUsingG[1].A\GAv.5gold\orderBasedExample.m (2859, 1998-09-08)
... ...
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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