Artificial Neural Network Identification And Control Of The Inverted Pendulum

ROTARY INVERTED PENDULUM AND CONTROL OF ROTARY INVERTED PENDULUM BY ARTIFICIAL NEURAL NETWORK

ROTARY INVERTED PENDULUM AND CONTROL OF ROTARY INVERTED PENDULUM BY ARTIFICIAL NEURAL NETWORK
... MODEL FOR SYSTEM OF ROTARY INVERTED PENDULUM Figure Calculation model for system of a rotary inverted pendulum The system of a rotary inverted pendulum shown in Figure consists of a pendulum attached ... of Matlab in next sections III IDENTIFYING AND CONTROLLING ROTARY INVERTED PENDULUM SYSTEM BY ARTIFICIAL NEURAL NETWORK The artificial neural network (ANN) is trained to identify the system of ... RESULTS OF EXPERIMENT The system of inverted pendulum is controlled by the ANN on the DSP TMS320F2812 with the sketch of control in Figure and the system of experiment in Figure The programme of control...
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systems with hysteresis. analysis_ identification and control using the bouc–wen model

systems with hysteresis. analysis_ identification and control using the bouc–wen model
... of the model with some laws of physics OBJECTIVE AND CONTENTS OF THE BOOK Relationship between the model parameters and the hysteresis loop Identification of the model parameters Control of systems ... parameter ¯ values = and n = with the Figure 4.8 Variation of x with the parameter ¯ values = and n = with the 81 83 Figure 4.9 Variation of x with the parameter n with the ¯ values = and = 84 Figure ... control purposes These models are referred to as phenomenological or semi-physical models Systems with Hysteresis: Analysis, Identification and Control using the Bouc–Wen Model F Ikhouane and J Rodellar...
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MECHANICAL DESIGN AND CONTROL OF THE PENDUBOT potx

MECHANICAL DESIGN AND CONTROL OF THE PENDUBOT potx
... present the design and control of an underactuated two link robot called the Pendubot We first give details of the design of the Pendubot, discussing the components of the linkage and the interface ... Front and Side Perspective Drawings of the Pendubot direct drive control, we designed the Pendubot to hang off the side of a table coupling link one directly to the shaft of the motor The mount and ... approximation of the dynamic parameters of the system (See Chapter 4) Then the software package Simnon [4] was used to simulate the dynamic equations and controller of the Pendubot (See Chapter 8) The design...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf

Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf
... Dolinar and Beno Klopčič Part Food Industry 18 3 19 9 Chapter 10 Application of Artificial Neural Networks to Food and Fermentation Technology 2 01 Madhukar Bhotmange and Pratima Shastri Chapter 11 Application ... domain experts 12 Artificial Neural Networks - Industrial and Control Engineering Applications 3.5 Seam performance Hui and Ng (2009) investigated the capability of artificial neural networks based ... shirting, and blouse uses were selected and fabric properties of extension, shear, bending, compression, and friction and Artificial Neural Networks - Industrial and Control Engineering Applications...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc

Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc
... finger marks, and others 26 Artificial Neural Networks - Industrial and Control Engineering Applications Study Area 29 Fabric Stitching Inspection Using Segmented Window Technique and BP Neural Network ... 1998) She et al., 20 02 36 Artificial Neural Networks - Industrial and Control Engineering Applications developed an intelligent fiber classification system to objectively identify and classify two ... pill's feature index, and finally assessing pilling grade by Kohonen self 42 Artificial Neural Networks - Industrial and Control Engineering Applications organizing feature map neural network There...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc

Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc
... 0. 237 11 31 . 73 31.471 31 . 735 31 .37 4 0.817 0.016 1.122 12 30 .99 31 .581 31 .029 32 .012 1.907 0.127 3. 297 13 33. 25 33 .1 23 33. 162 33 .30 7 0 .38 3 0.266 0.172 14 33 .15 33 .1 23 33. 162 33 .30 7 0.0 83 0. 035 ... 3. 12 3. 133 3. 166 3. 139 0. 432 1.479 0.598 12 3. 38 3. 364 3. 389 3. 359 0.484 0.256 0. 634 13 3.29 3. 627 3. 648 3. 630 10.229 10.870 10 .34 3 14 3. 94 3. 627 3. 648 3. 630 7.956 7.421 7.861 15 3. 66 3. 627 3. 648 ... 32 .041 32 .2 53 31. 838 0.772 0.115 1.401 32 .92 30 .169 32 .805 32 .9 23 8 .35 6 0 .35 0 0.009 33 .87 33 .917 33 .640 33 .624 0. 139 0.679 0.725 29.48 29 .33 4 29 .37 5 29.514 0.495 0 .35 7 0.115 32 .27 32 .32 4 31 . 931 31 . 832 ...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot

Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot
... laser-induced plasma, Spectrochimica Acta Part B, Vol 64, No 7, (July 2009) pp 685-689, ISSN: 05 848 547 1 14 Artificial Neural Networks - Industrial and Control Engineering Applications Belkov, M.V.; Burakov, ... was 140 , and the number of output layer nodes was 41 corresponding to the number of materials used in the training phase 98 Artificial Neural Networks - Industrial and Control Engineering Applications ... the same elemental 1 04 Artificial Neural Networks - Industrial and Control Engineering Applications a) basalt dolomite kaolin ilmenite b) c) 15 14 13 12 11 10 1 10 11 12 13 14 15 Fig 12 Mineralogy...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf

Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
... 614 10 .53 11 80 13 10. 25 5 85 9 .54 12 80 14 10.10 54 1 8.49 13 75 11 14 10. 25 5 95 11. 85 14 75 12 13 10.26 59 0 11.14 15 75 13 12 10.26 56 5 9.87 16 17 75 14 11 10. 25 538 8.61 60 10 30 10.12 51 1 9.94 ... 9. 75 530 11 .54 13 75 11 14 9.04 56 8 9.68 14 75 12 13 9.06 54 2 8.39 15 75 13 12 9.88 52 8 7. 95 16 17 75 14 11 9.28 52 5 11.76 60 10 30 9.24 451 5. 91 18 60 15 25 9.81 50 4 6.28 19 60 20 20 9.11 57 6 ... 9.89 53 8 8.39 13 75 11 14 10.33 53 9 11.41 14 75 12 13 10.42 51 9 10 .50 15 75 13 12 10.46 51 0 9.69 16 75 14 11 10.43 51 7 8.90 17 60 10 30 9.74 56 7 7.33 18 60 15 25 9. 75 567 7.27 19 60 20 20 9.76 56 7...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx

Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx
... 368 10 340 335 6. 05-34.80 8 .65 -27.42 18.54-24. 36 5.57-34 .68 7.24-33.81 24.03-34.85 19.23-28. 96 16. 03- 26. 59 20.87-28. 86 18 .68 -34.03 23.04-33.48 23.83-28 .63 5.55-20 .63 8.81-32.15 4.85-13 .61 16. 43-31.14 ... feature (a) Final thickness and manganese concentration, (b) Finishing temperature and carbon concentration 166 Artificial Neural Networks - Industrial and Control Engineering Applications 3.4 Grain ... Toroghinejad and Key Yeganeh A R (2009a) Modeling the Yield Strength of Hot Strip Low Carbon Steels by Artificial Neural Network Materials and Design 30:9, 365 3- 365 8 168 Artificial Neural Networks - Industrial...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx

Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx
... P.N., & Pandharipande S.L (2009) Validity of artificial neural network for predicting effect of media components on enzyme production 222 Artificial Neural Networks - Industrial and Control Engineering ... computer-controlled multi-sensor 206 Artificial Neural Networks - Industrial and Control Engineering Applications array, which exhibits a differential response to a range of vapors and odors ... concentration and reaction time 214 Artificial Neural Networks - Industrial and Control Engineering Applications Number of neurons input Output First hidden layer 15 Second hidden layer 07 Training...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx

Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx
... ISSN 1006-93 48 2 58 Artificial Neural Networks - Industrial and Control Engineering Applications [22] Wen Xin; Zhou Lu (2000) MATLAB Neural network application and design, Science and Technology ... analysis and neural network Journal of Food Engineering, 79, 4, 1243-1249, ISSN: 0260 -87 74 Zou, J., Han, Y & So, S.-S (20 08) Overview of artificial neural networks In: Artificial neural networks ... Table Other applications of ANN in meat science and technology 236 Artificial Neural Networks - Industrial and Control Engineering Applications pigs) as affected by rearing regime and/ or breed...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 9 pptx

Artificial Neural Networks Industrial and Control Engineering Applications Part 9 pptx
... 0.20536 1.066 47 58.8 89 0.235 69 0.15323 0. 093 944 0. 099 664 0.152 0 .93 871 0.23577 0.153 19 0. 093 967 0. 099 666 0.15 199 0 .93 8 89 48 47.748 0.05 599 7 0.023 694 0.023554 0.026538 0.048013 0.181 69 0.056017 0.023724 ... 3.4 491 3 .99 78 0.73775 1.2058 23.325 3.4 491 0 .97 8 19 1.6864 3.2764 4. 792 6 5.484 0 .97 8 19 1.6864 8.6761 4. 792 6 0.5 791 3 0 .93 221 30.051 2.6715 3.1082 0.5 791 3 0 .93 221 18.266 2.6715 0 .99 247 1.7 194 3.32 89 ... 0.1 390 9 0.25282 1.886 97 11 .93 7 -0. 193 77 0.2 398 2 -0. 095 54 -0.1436 -0.05865 0.77 291 -0. 193 8 0.2 397 4 -0. 095 58 -0.14365 -0.05867 0.77 298 98 27.057 0.8 291 0. 496 02 0. 595 36 0.68224 0.08842 0.612 09 0.82889...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 10 doc

Artificial Neural Networks Industrial and Control Engineering Applications Part 10 doc
... experiment to neural network identification The data acquisition for network development 310 Artificial Neural Networks - Industrial and Control Engineering Applications is crucial and the design ... signal of SOI for training and validation Fig 11 Random signal of FRP for training and validation 320 Artificial Neural Networks - Industrial and Control Engineering Applications The experiment ... pressure with predicted neural network signal 322 Artificial Neural Networks - Industrial and Control Engineering Applications Fig 15 Correlation of engine NOx with predicted neural network signal...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 11 pptx

Artificial Neural Networks Industrial and Control Engineering Applications Part 11 pptx
... 75 140 115 90 72 140 115 90 72 125 110 87 67 125 110 87 67 125 110 87 67 125 110 87 67 151 143 116 86.6 147 141 118 86.6 136 130 116 86.6 119 109 96.4 77 119 100 96.4 73.7 119 101 92 73.4 119 101 ... hidden and output neurons process their inputs by multiplying each input by its weight, summing the 342 Artificial Neural Networks - Industrial and Control Engineering Applications product, and ... 3.2000 5.0667 5.2000 5.5556 11. 600 8.4000 4.8000 346 Artificial Neural Networks - Industrial and Control Engineering Applications Figures 13-16 show the results from Tables and in graphical representation...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 12 pdf

Artificial Neural Networks Industrial and Control Engineering Applications Part 12 pdf
... Applications, Vol 31(3), pp 612- 619 394 Artificial Neural Networks - Industrial and Control Engineering Applications Wlas M.; Krzeminski, Z.; Guzinski, J.; Abu-Rub, H.; Toliyat, H.A (2005) ArtificialNeural-Network-Based ... function and one output layer with a linear 388 Artificial Neural Networks - Industrial and Control Engineering Applications activation function) The network weights are initially randomised ... calculated first using Eq (11) and then backpropagated through the network using Eq (12) to calculate the 382 Artificial Neural Networks - Industrial and Control Engineering Applications equivalent...
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