Intelligent Control Systems with LabVIEW 2 ppt
Intelligent Control Systems with LabVIEW 2 ppt
... zero.
Example 2. 7. Suppose that f.x/D ax C b and a 2 A D
f
1; 2; 3
g
and b 2 B D
f
2; 3; 5
g
with x D 6. Then f.x/D 6A C B D
f
8; 15; 23
g
. ut
Example 2. 8. Consider the following function y D F.s/D2s
2
C ... associative (2. 15):
R
1
ı R
2
ı R
3
D R
1
ı
R
2
ı R
3
: (2. 15)
2. If R
1
is reflexive and is arbitrary R
2
is arbitrary, then
R
2
.a; b/ Ä
R
1
ıR...
Intelligent Control Systems with LabVIEW 8 ppt
... D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 155
© Springer 20 10
156 6 Simulated Annealing, FCM, Partition Coefficients and Tabu Search
Monte Carlo method with this computer. ... and between a 10 and 20 %
of cost reduction in problems with 25 00 traffic demand areas with code division
multiple access (CDMA) systems.
6 .2 Simulated Annealing
It was in 19 82...
Intelligent Control Systems with LabVIEW 1 doc
... MinimumVarianceEstimationandControl 20 0
7.7 Example of Predictors Using the Intelligent Control Toolkit
forLabVIEW(ICTL) 20 2
7.7.1 Exponential Smoothing 20 2
7.7 .2 Box–Jenkins Method . 20 3
7.7.3 MinimumVariance 20 4
Preface
Control ... 34
2. 7.5 Structure 34
2. 7.6 Fuzzification 34
2. 7.7 RulesEvaluation 35
2. 7.8 Defuzzification 35
2. 7.9 TsukamotoFuzzyController 35
2. 7....
Intelligent Control Systems with LabVIEW 4 docx
... third layers
0.3 822 1. 823 0
0.1860 1.8710
0.3840
0.18 82
3.3 Artificial Neural Networks 69
Fig. 3 .26 Implementation of the backpropagation algorithm with momentum parameter
3.3 .2. 3 Fuzzy Parameters ... periodic signals.
Consider a function as in (3 .24 ):
f.t/D
1
2
a
0
C a
1
cos !
0
t C a
2
cos 2!
0
t C :::C b
1
sen!
0
t C b
2
sen2!
0
t C :::
f.t/D
1
2
a
0
C
1
X
nD1
Œa
n
co...
Intelligent Control Systems with LabVIEW 5 pot
... every one of
them.
P. Ponce-Cruz, F. D . Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 89
© Springer 20 10
4 .2 The Neuro-fuzzy Controller 93
The advantages of this topology are that ... values between
0 or 1, then each node has two labels. Therefore, the array is NumberLabels D
f2; 2; 2; 2; 2; 2g. Iterations is the same as in the other examples. Etha is the learni...
Intelligent Control Systems with LabVIEW 6 pdf
... 4.19.
4 .2 The Neuro-fuzzy Controller 95
Fig. 4.5a,b T-ANNs example. a Front panel. b Block diagram
4 .2 The Neuro-fuzzy Controller 99
Fig. 4.8 Block diagram of the neuro-fuzzy controller with one ... A
i
.x/
A
i
.x/ D
1
1 C
xc
i
a
i
Á
2
bi
A
i
.x/ D exp
C
xc
i
a
i
Á
2
w
i
D A
i
.x/
B
i
.y/; i D 1; 2.
w
i
D
w
i
w
1
Cw
2
;iD 1; 2
O
4
i
D w
i
f
i
D w
i
.p
i
x...
Intelligent Control Systems with LabVIEW 7 doc
... exist such as bit string,
P. Ponce-Cruz, F. D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 123
© Springer 20 10
124 5 Genetic Algorithms and Genetic Programming
real-component vectors, ... possible.
122 4 Neuro-fuzzy Controller Theory and Application
References
1. Ponce P, et al. (20 07) Neuro-fuzzy controller using LabVIEW. Proceedings of 10th ISC Con-
ference, I...
Intelligent Control Systems with LabVIEW 9 pdf
... Motor 2
11 120 1
1 1 151 1 20
1 1 22 6 1 17
1 22 6 151 1 12
1 22 6 22 6 1 15
76 1 1 20 1
76 1 76 20 1
76 1 151 1 15
76 22 6 151 1 15
76 22 6 22 6 1 12
151 1 1 20 1
151 1 76 20 1
151 1 151 12 12
151 22 6 151 ... 20 1
151 1 76 20 1
151 1 151 12 12
151 22 6 151 1 1
151 22 6 22 6 1 4
22 6 1 1 20 1
22 6 151 22 6 3 1
22 6 22 6 1 10 1
22 6 22 6 151 1 1
22 6 22 6...
Intelligent Control Systems with LabVIEW 10 pps
... C
.T / ˙ z
˛ =2
d
. T /
,whered
is given by:
d
D 1 :25
2
4
1 C
Â
.1Cv/
3
1 C 4v C 5v
2
C 2 .1 C 3v/ C 2
2
2
1 C
Â
.1Cv/
3
Œ.1 C 4v C 5v
2
/ C 2 .1 C 3v/ C 2
2
3
5
:
(7.18)
Here ... 31
Fuzzy relation 28
Anti-reflexiv e 29
Anti-symmetric 29
Biunique 29
Cartesian product 28
Connected 29
Definition of relation 28
Left unique 29
Product set...
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