{
"item_title" : "Identification for Automotive Systems",
"item_author" : [" Daniel Alberer", "Håkan Hjalmarsson", "Luigi del Re "],
"item_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.",
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Identification for Automotive Systems
Overview
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.
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Details
- ISBN-13: 9781447122203
- ISBN-10: 1447122208
- Publisher: Springer
- Publish Date: December 2011
- Dimensions: 9.1 x 6.1 x 0.9 inches
- Shipping Weight: 1.23 pounds
- Page Count: 356
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