Skip to main content
SpringerLink
Log in
Book cover

Identification for Automotive Systems

  • Book
  • © 2012

Overview

Editors:
  1. Daniel Alberer

    1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Håkan Hjalmarsson

    1. School of Electrical Engineering Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Luigi Re

    1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Examines the subject from both the industrial and the academic point of view
  • Contains the results of up-to-the-moment research
  • Offers insights into exploiting progress in the field of identification

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 chapters)

  1. Front Matter

    Download chapter PDF

  2. System Identification for Automotive Systems: Opportunities and Challenges

    1. System Identification for Automotive Systems: Opportunities and Challenges

      • 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
      Download chapter PDF

    2. A Desired Modeling Environment for Automotive Powertrain Controls

      • Akira Ohata
      Pages 13-34

    3. An Overview on System-Identification Problems in Vehicle Chassis Control

      • Simone Formentin, Sergio M. Savaresi
      Pages 35-49

  4. Part II: Suitable Identification Methods

    1. Front Matter

      Pages 51-51
      Download chapter PDF

    2. Linear Parameter-Varying System Identification: The Subspace Approach

      • M. Corno, J. -W. van Wingerden, M. Verhaegen
      Pages 53-65

    3. A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems

      • Boris Houska, Filip Logist, Moritz Diehl, Jan Van Impe
      Pages 67-88

    4. Using Genetic Programming in Nonlinear Model Identification

      • Stephan Winkler, Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, Michael Kommenda
      Pages 89-109

    5. Markov Chain Modeling and On-Board Identification for Automotive Vehicles

      • Dimitar P. Filev, Ilya Kolmanovsky
      Pages 111-128

    6. Parameter Identification in Dynamic Systems Using the Homotopy Optimization Approach

      • 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
      Download chapter PDF

    2. A Tutorial on Applications-Oriented Optimal Experiment Design

      • Cristian R. Rojas, Jonas Mårtensson, Håkan Hjalmarsson
      Pages 149-164

    3. Engine Calibration Using Nonlinear Dynamic Modeling

      • 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
      Download chapter PDF

    2. Representation Limits of Mean Value Engine Models

      • Carlos Guardiola, Antonio Gil, Benjamín Pla, Pedro Piqueras
      Pages 185-206

    3. Identification Methods for Reliable and High Dynamic Off-Road Engines

      • Christian Benatzky, Gerd Schlager
      Pages 207-221

    4. Dynamic Mapping of Diesel Engine through System Identification

      • Maria Henningsson, Kent Ekholm, Petter Strandh, Per Tunestål, Rolf Johansson
      Pages 223-239

    5. Off- and On-Line Identification of Maps Applied to the Gas Path in Diesel Engines

      • Erik Höckerdal, Lars Eriksson, Erik Frisk
      Pages 241-256

    6. Identification Techniques for Control Oriented Models of Internal Combustion Engines

      • Daniel Pachner, David Germann, Greg Stewart
      Pages 257-282
Back to top

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

  • Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    Daniel Alberer, Luigi Re

  • School of Electrical Engineering Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden

    Håkan Hjalmarsson

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation