Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

... Welding, Proceedings of 20 06 IEEE World Congress of Computational Intelligence, 20 06 IEEE International Conference on Fuzzy Systems, Vancouver, 157 0– 157 7, 20 06. 16. D. Dickinson, J. Franklin, ... with ∗ Corresponding author, roger.bostelman@nist.gov J. Albus et al.: Intelligent Control of Mobility Systems, Studies in Computational Intelligence (SCI) 1 32, 23 7 27 4 (20 08)...

Ngày tải lên: 07/08/2014, 09:23

... (Case 1) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] measured predicted 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] AFR [/] - (Case 2) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time ... 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] AFR [/] (Case 3) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 2...

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... ramps 34.6 60 .2 5. 7 26 6 Arterials LOS A–B 24 .8 58 .9 5. 0 737 Arterials LOS C–D 19 .2 49 .5 5.7 629 Arterials LOS E–F 11.6 39.9 5. 8 50 4 Local roadways 12. 9 38.3 3.7 52 5 • Normal driving implies moderate ... rad/s 314 rad/s 26 1 rad/s 104 rad/s 157 rad/s 20 9 rad/s (a) engine efficiency map 0 0 .5 1 1 .5 2 2 .5 0 0 .5 1 1 .5 2 2 .5 Mechanical Power[kW ] Electr...

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... models in order to be effective. K. Pattipati et al.: An Integrated Diagnostic Process for Automotive Systems, Studies in Computational Intelligence (SCI) 1 32, 191 21 8 (20 08) www.springerlink.com c  ... observer [ 52 ] , Kalman filters and Interacting Multiple Models [1], output observers [43, 54 ], nonlinear observers [20 , 53 ], to name a few. An Integrated Diagnostic Process...

Ngày tải lên: 07/08/2014, 09:23

... Parameter Estimation R w K f I w τ m K f err 3 . 25 .06. 0 25 .01. 05 std 1 .23 .56 . 822 .20 . 12 I w err 2. 04 .54 .019.00. 52 std 1.64.87 .23 9.30. 35 τ m err 3 .57 .810. 327 . 52 . 0 std 2. 45 . 25 .646 .50 .80 R w err 0.39 0.33 2. 98 27 9.33 0.004 std 0 . 25 0. 12 1.48 ... fault (F8) +36. 32 +0.40 2. 01 2. 90 26 .28 −0.16 Engine speed sensor fault (F9) −7.14 +10.46 25 .19 26...

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... Distance 2 Pos it i on Obje c t-I D O ffs et Pas s Spe ed Fol lo w in gDi s t Costs to Vio l ate X-80934 Y -23 8 82 Z -23 457 X-8093 Y -23 8 82 X-80934 X-80934 X-80934 Y -23 8 82 Z -23 457 Objects-of-Interest Table Fig. ... referenced in various public docu- ments, including the ASTM Standards E2 52 1 -07, F 23 95- 05, and F 25 41-06 for various UMSs as well as the U.S. Army UNMA...

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... 25 6, 25 9, 26 1, 27 1 Lane tracking, 36 Learning Applied to Ground Robots (LAGR), 23 8, 25 5 Learning machines, 1 25 Learning rate, 114 Learning vector quantization (LVQ), 1 85, 22 0, 22 3 22 6, 22 8, 23 4 Learning-based ... System (4D/RCS), 23 7 Fuzzy logic, 174, 1 75, 22 0, 22 7, 22 9, 23 4 27 6 Index Fuzzy rules, 174, 1 75, 180, 1 82, 22 9, 23 0 Fuzzy system, 22 , 2...

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... Computer Vision and Machine Learning for Enhancing Pedestrian Safety 69 0 1 2 3 4 5 0 .5 1 1 .5 2 2 .5 3 3 .5 4 4 .5 decision boundary 2 −1 0 1 2 2 −1 .5 −1 −0 .5 0 0 .5 1 1 .5 2 (a) (b) Fig. 8. Illustration ... Machine Intelligence, pp. 918– 923 , July 20 03. 31. D.V. Prokhorov. Neural Networks in Automotive Applications. Computational Intelligence in Auto...

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... F09-F10) 32 70 Pupil-diameter features only (F09-F10) 2 61 Driving-performance features (F01-F08) 8 60 PleaserefertoTable2forthefeatureindices 0 2 4 6 8 10 12 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 Feature ... 1 /5: (11 .5/ 1 .5, lift 2. 1) F01 > 2. 4 056 F21 <= 0.06 35 -> class High [0.8 12] Rule 1/6: (21 .4/3.8, lift 2. 0) F09 <= 21 .24 43 -&...

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... 481 05 USA dvprokhorov@gmail.com ISBN 978-3 -54 0-7 9 25 6-7 e-ISBN 978-3 -54 0-7 9 25 7-4 Studies in Computational Intelligence ISSN 1860-949X Library of Congress Control Number: 20 08 9 25 55 4 c  20 08 Springer-Verlag ... 119 On Learning Machines for Engine Control G´erard Bloch, Fabien Lauer, and Guillaume Colin 1 25 1 Introduction 1 25 1.1 CommonFeaturesin EngineControl 1 25...

Ngày tải lên: 07/08/2014, 09:23