Identification for Automotive Systems

  • Daniel Alberer
  • Håkan Hjalmarsson
  • Luigi del Re

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 418)

Table of contents

  1. Front Matter
  2. System Identification for Automotive Systems: Opportunities and Challenges

    1. Daniel Alberer, Håkan Hjalmarsson, Luigi del Re
      Pages 1-10
  3. Part I: Needs and Chances of Nonlinear Identification for Automotive Systems

    1. Front Matter
      Pages 11-11
    2. Simone Formentin, Sergio M. Savaresi
      Pages 35-49
  4. Part II: Suitable Identification Methods

    1. Front Matter
      Pages 51-51
    2. M. Corno, J. -W. van Wingerden, M. Verhaegen
      Pages 53-65
    3. Boris Houska, Filip Logist, Moritz Diehl, Jan Van Impe
      Pages 67-88
    4. Stephan Winkler, Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, Michael Kommenda
      Pages 89-109
    5. Dimitar P. Filev, Ilya Kolmanovsky
      Pages 111-128
    6. Chandrika P. Vyasarayani, Thomas Uchida, Ashwin Carvalho, John McPhee
      Pages 129-145
  5. Part III: The Importance of Data

    1. Front Matter
      Pages 147-147
    2. Cristian R. Rojas, Jonas Mårtensson, Håkan Hjalmarsson
      Pages 149-164
    3. Karsten Röpke, Wolf Baumann, Bert-Uwe Köhler, Steffen Schaum, Richard Lange, Mirko Knaak
      Pages 165-182
  6. Part IV: Applications of Identification Methods for Automotive Systems

    1. Front Matter
      Pages 183-183
    2. Carlos Guardiola, Antonio Gil, Benjamín Pla, Pedro Piqueras
      Pages 185-206
    3. Christian Benatzky, Gerd Schlager
      Pages 207-221
    4. Maria Henningsson, Kent Ekholm, Petter Strandh, Per Tunestål, Rolf Johansson
      Pages 223-239
    5. Erik Höckerdal, Lars Eriksson, Erik Frisk
      Pages 241-256
    6. Daniel Pachner, David Germann, Greg Stewart
      Pages 257-282
    7. Anders Widd, Per Tunestål, Rolf Johansson
      Pages 283-302
    8. Tomáš Polóni, Boris Rohal’-Ilkiv, Daniel Alberer, Luigi del Re, Tor Arne Johansen
      Pages 303-326
  7. Back Matter

About this book


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.

Editors and affiliations

  • Daniel Alberer
    • 1
  • Håkan Hjalmarsson
    • 2
  • Luigi del Re
    • 3
  1. 1.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzLinzAustria
  2. 2.School of Electrical Engineering Automatic ControlKTH Royal Institute of TechnologyStockholmSweden
  3. 3.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzLinzAustria

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2012
  • Publisher Name Springer, London
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-1-4471-2220-3
  • Online ISBN 978-1-4471-2221-0
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site
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