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
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Alberer, Daniel (Editor ), Hjalmarsson, Håkan (Editor ), del Re, Luigi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Lecture Notes in Control and Information Sciences, 418
Temas:
Automotive engineering.
System theory.
Control theory.
Control engineering.
Automotive Engineering.
Systems Theory, Control .
Control and Systems Theory.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XVI, 356 p. 172 illus., 129 illus. in color. online resource.
ISBN:9781447122210
ISSN:1610-7411 ;

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