Intelligent Control Systems with LabVIEW 2 ppt

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/D2s 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...

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Intelligent Control Systems with LabVIEW 8 ppt

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...

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Intelligent Control Systems with LabVIEW 1 doc

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....

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Intelligent Control Systems with LabVIEW 4 docx

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...

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Intelligent Control Systems with LabVIEW 5 pot

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...

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Intelligent Control Systems with LabVIEW 6 pdf

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   xc i a i Á 2  bi A i .x/ D exp  C  xc 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...

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Intelligent Control Systems with LabVIEW 7 doc

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...

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Intelligent Control Systems with LabVIEW 9 pdf

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...

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Intelligent Control Systems with LabVIEW 10 pps

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  .1Cv/ 3  1 C 4v C 5v 2  C 2 .1 C 3v/  C 2 2  2  1 C  .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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