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140519s2014 sz | s |||| 0|eng d |
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|a 9783319067377
|9 978-3-319-06737-7
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|a 10.1007/978-3-319-06737-7
|2 doi
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|a 629.04
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|a Blanco-Rodriguez, Dr.-Ing. David.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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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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|a 1st ed. 2014.
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264 |
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|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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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5061
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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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|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 Transportation engineering.
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650 |
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|a Traffic engineering.
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650 |
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|a Engines.
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650 |
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|a Control engineering.
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|a Pollution.
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|a Transportation Technology and Traffic Engineering.
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|a Engine Technology.
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|a Control and Systems Theory.
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650 |
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|a Pollution.
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319067384
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776 |
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|i Printed edition:
|z 9783319067360
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776 |
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|i Printed edition:
|z 9783319361185
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830 |
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5061
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-06737-7
|z Texto Completo
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|a ZDB-2-ENE
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|a ZDB-2-SXEN
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|a Energy (SpringerNature-40367)
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|a Energy (R0) (SpringerNature-43717)
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