
Identification for Automotive Systems
Springer (Publisher)
Published on 9. December 2011
Book
Paperback/Softback
XVI, 356 pages
978-1-4471-2220-3 (ISBN)
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.
More details
Series
Edition
2012
Language
English
Place of publication
London
United Kingdom
Target group
Primary & secondary/elementary & high school
Graduate
Illustrations
43 s/w Abbildungen, 129 farbige Abbildungen
XVI, 356 p. 172 illus., 129 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
563 gr
ISBN-13
978-1-4471-2220-3 (9781447122203)
DOI
10.1007/978-1-4471-2221-0
Schweitzer Classification
Other editions
Additional editions

Daniel Alberer | Håkan Hjalmarsson | Luigi del Re
Identification for Automotive Systems
E-Book
12/2011
Springer
€96.29
Available for download
Content
From the Contents: Challenges and Opportunities for Identification Methods in Automotive Systems.- A Desired Modelling Environment for Automotive Powetrain Controls.- An Overview on System Identification Problems in Vehicle Chassis Control.- Linear Parameter-varying System Identification: The Subspace Approach.- A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems.- Using Genetic Programming in Nonlinear Model Identification.- Markov Chain Modelling and On-board Identification for Automotive Vehicles.