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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2012
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4471-2221-0 http://cds.cern.ch/record/2023758 |
_version_ | 1780947126838099968 |
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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 |
record_format | invenio |
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 |