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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
London
Springer London
2012, 2012
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| Edition: | 1st ed. 2012 |
| Series: | Lecture Notes in Control and Information Sciences
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | 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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| Physical Description: | XVI, 356 p. 172 illus., 129 illus. in color online resource |
| ISBN: | 9781447122210 |