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02825nam a22005175i 4500 |
| 001 |
978-3-319-06737-7 |
| 003 |
DE-He213 |
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20151103124024.0 |
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cr nn 008mamaa |
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140519s2014 gw | s |||| 0|eng d |
| 020 |
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|a 9783319067377
|9 978-3-319-06737-7
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7 |
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|a 10.1007/978-3-319-06737-7
|2 doi
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|d GrThAP
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|a TJ163.5.T7
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|a THRB
|2 bicssc
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|a TEC031000
|2 bisacsh
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|a 388
|2 23
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|a Blanco-Rodriguez, Dr.-Ing. David.
|e author.
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| 245 |
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|a Modelling and Observation of Exhaust Gas Concentrations for Diesel Engine Control
|h [electronic resource] /
|c by Dr.-Ing. David Blanco-Rodriguez.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XVII, 190 p. 89 illus., 1 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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| 505 |
0 |
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|a Introduction -- Sensors and models for NOx -- Adaptive filtering for observing NOx -- Conclusions and future works -- Appendix -- Bibliography.
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| 520 |
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|a The book presents a complete new methodology for the on-board measurements and modeling of gas concentrations in turbocharged diesel engines. It provides the readers with a comprehensive review of the state-of-art in NOx and lambda estimation and describes new important achievements accomplished by the author. These include: the online characterization of lambda and NOx sensors; the development of control-oriented models of lambda and NOx emissions; the design of computationally efficient updating algorithms; and, finally, the application and evaluation of the methods on-board. Because of its technically oriented approach and innovative findings on both control-oriented algorithms and virtual sensing and observation, this book offers a practice-oriented guide for students, researchers and professionals working in the field of control and information engineering.
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| 650 |
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|a Energy.
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| 650 |
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|a Transportation.
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| 650 |
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0 |
|a Engines.
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| 650 |
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|a Machinery.
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| 650 |
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|a Control engineering.
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| 650 |
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|a Air pollution.
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| 650 |
1 |
4 |
|a Energy.
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| 650 |
2 |
4 |
|a Transportation.
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| 650 |
2 |
4 |
|a Engine Technology.
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| 650 |
2 |
4 |
|a Control.
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| 650 |
2 |
4 |
|a Atmospheric Protection/Air Quality Control/Air Pollution.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319067360
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| 830 |
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0 |
|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-06737-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENE
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| 950 |
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|a Energy (Springer-40367)
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