myfuuzy5.fis

用RBF神经网络和模糊控制方法控制二级倒立摆源码

[System]
Name='myfuuzy5'
Type='mamdani'
Version=2.0
NumInputs=2
NumOutputs=1
NumRules=48
AndMethod='min'
OrMethod='max'
ImpMethod='min'
AggMethod='max'
DefuzzMethod='centroid'

[Input1]
Name='e'
Range=[-1 1]
NumMFs=7
MF1='nb':'trapmf',[-1.22 -1.1 -0.6958 -0.536]
MF2='nm':'trimf',[-0.7937 -0.4604 -0.127]
MF3='ns':'trimf',[-0.5 -0.2 0]
MF4='ze':'trimf',[-0.1 0 0.1]
MF5='ps':'trimf',[0 0.2 0.5]
MF6='pm':'trimf',[0.1481 0.4815 0.8148]
MF7='pb':'trapmf',[0.536 0.7275 1.09 1.14]

[Input2]
Name='ec'
Range=[-1 1]
NumMFs=7
MF1='nb':'trapmf',[-1.28 -1.1 -0.77 -0.53]
MF2='nm':'trimf',[-0.7 -0.5 -0.2]
MF3='ns':'trimf',[-0.4 -0.2 -5.551e-017]
MF4='ze':'trimf',[-0.1 0 0.1]
MF5='ps':'trimf',[-0.005291 0.2 0.4]
MF6='pm':'trimf',[0.2 0.5 0.7]
MF7='pb':'trapmf',[0.5 0.8 1.033 1.3]

[Output1]
Name='u'
Range=[-1 1]
NumMFs=7
MF1='nb':'trapmf',[-1.12 -1.11904761904762 -0.717 -0.397]
MF2='nm':'trimf',[-0.8 -0.5 -0.2]
MF3='ns':'trimf',[-0.4 -0.2 0]
MF4='ps':'trimf',[0 0.2 0.4]
MF5='pm':'trimf',[0.2 0.5 0.8]
MF6='pb':'trapmf',[0.407 0.727 1.09259259259259 1.12]
MF7='ze':'trimf',[-0.2 0 0.2]

[Rules]
1 1, 1 (1) : 1
1 2, 1 (1) : 1
1 3, 1 (1) : 1
1 4, 2 (1) : 1
1 5, 2 (1) : 1
1 6, 3 (1) : 1
1 7, 7 (1) : 1
2 1, 1 (1) : 1
2 2, 1 (1) : 1
2 3, 2 (1) : 1
2 4, 2 (1) : 1
2 5, 3 (1) : 1
2 6, 7 (1) : 1
2 7, 4 (1) : 1
3 1, 1 (1) : 1
3 2, 2 (1) : 1
3 3, 2 (1) : 1
3 4, 3 (1) : 1
3 5, 7 (1) : 1
3 6, 4 (1) : 1
3 7, 5 (1) : 1
4 1, 2 (1) : 1
4 2, 2 (1) : 1
4 3, 3 (1) : 1
4 4, 7 (1) : 1
4 5, 4 (1) : 1
4 6, 5 (1) : 1
4 7, 5 (1) : 1
5 1, 2 (1) : 1
5 2, 3 (1) : 1
5 3, 7 (1) : 1
5 4, 4 (1) : 1
5 5, 5 (1) : 1
5 6, 5 (1) : 1
5 7, 6 (1) : 1
6 1, 3 (1) : 1
6 3, 4 (1) : 1
6 4, 5 (1) : 1
6 5, 5 (1) : 1
6 6, 6 (1) : 1
6 7, 6 (1) : 1
7 1, 7 (1) : 1
7 2, 4 (1) : 1
7 3, 5 (1) : 1
7 4, 5 (1) : 1
7 5, 6 (1) : 1
7 6, 6 (1) : 1
7 7, 6 (1) : 1