anfis.fis

有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器

[System]
Name='anfis'
Type='sugeno'
Version=2.0
NumInputs=3
NumOutputs=1
NumRules=8
AndMethod='prod'
OrMethod='probor'
ImpMethod='prod'
AggMethod='sum'
DefuzzMethod='wtaver'

[Input1]
Name='input1'
Range=[-80 80]
NumMFs=2
MF1='in1mf1':'gbellmf',[80 2 -80]
MF2='in1mf2':'gbellmf',[80 2 80]

[Input2]
Name='input2'
Range=[-80 80]
NumMFs=2
MF1='in2mf1':'gbellmf',[80 2 -80]
MF2='in2mf2':'gbellmf',[80 2 80]

[Input3]
Name='input3'
Range=[-60 60]
NumMFs=2
MF1='in3mf1':'gbellmf',[60 2 -60]
MF2='in3mf2':'gbellmf',[60 2 60]

[Output1]
Name='output'
Range=[-1349.71654245946 1349.71654245946]
NumMFs=8
MF1='out1mf1':'linear',[-4.880182975018 -4.49098059356031 -10.0004036054549 -0.000540428787859403]
MF2='out1mf2':'linear',[-4.88017890716108 -4.49097671244552 -10.0004009141438 0.000231536340824206]
MF3='out1mf3':'linear',[-4.88017892395539 -4.49097868531129 -10.0003978947986 0.000219061813530489]
MF4='out1mf4':'linear',[-4.88018008611129 -4.49097726371152 -10.0003986619302 -8.47057163407695e-005]
MF5='out1mf5':'linear',[-4.88018101093262 -4.49097671491481 -10.0003978856867 0.00022409689592981]
MF6='out1mf6':'linear',[-4.88017947937828 -4.49097782942586 -10.0003986585403 -8.66922265765669e-005]
MF7='out1mf7':'linear',[-4.88017948570303 -4.49097726289654 -10.0003995255835 -8.24247909101539e-005]
MF8='out1mf8':'linear',[-4.88017992325142 -4.49097767112162 -10.0003993052894 2.96444665281939e-005]

[Rules]
1 1 1, 1 (1) : 1
1 1 2, 2 (1) : 1
1 2 1, 3 (1) : 1
1 2 2, 4 (1) : 1
2 1 1, 5 (1) : 1
2 1 2, 6 (1) : 1
2 2 1, 7 (1) : 1
2 2 2, 8 (1) : 1