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Identification for automotive systems

Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limi...

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Detalles Bibliográficos
Autores principales: Alberer, Daniel, Hjalmarsson, Håkan, Re, Luigi
Lenguaje:eng
Publicado: Springer 2012
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4471-2221-0
http://cds.cern.ch/record/2023758
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author Alberer, Daniel
Hjalmarsson, Håkan
Re, Luigi
author_facet Alberer, Daniel
Hjalmarsson, Håkan
Re, Luigi
author_sort Alberer, Daniel
collection CERN
description Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.
id cern-2023758
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
publisher Springer
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spelling cern-20237582021-04-21T20:11:59Zdoi:10.1007/978-1-4471-2221-0http://cds.cern.ch/record/2023758engAlberer, DanielHjalmarsson, HåkanRe, LuigiIdentification for automotive systemsEngineeringIncreasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.Springeroai:cds.cern.ch:20237582012
spellingShingle Engineering
Alberer, Daniel
Hjalmarsson, Håkan
Re, Luigi
Identification for automotive systems
title Identification for automotive systems
title_full Identification for automotive systems
title_fullStr Identification for automotive systems
title_full_unstemmed Identification for automotive systems
title_short Identification for automotive systems
title_sort identification for automotive systems
topic Engineering
url https://dx.doi.org/10.1007/978-1-4471-2221-0
http://cds.cern.ch/record/2023758
work_keys_str_mv AT albererdaniel identificationforautomotivesystems
AT hjalmarssonhakan identificationforautomotivesystems
AT reluigi identificationforautomotivesystems