Lecture Notes in Control and Information Sciences

Automotive Model Predictive Control

Models, Methods and Applications

Editors: Del Re, L., Allgöwer, F., Glielmo, L., Guardiola, C., Kolmanovsky, I. (Eds.)

  • Gives the reader access to the uses of a modern and successful method of control in a most important applications area
  • Presents the viewpoints of industry-based engineers and academic research to give a balanced, practical but cutting-edge perspective
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About this book

Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.

Table of contents (17 chapters)

  • Chances and Challenges in Automotive Predictive Control

    Re, Luigi (et al.)

    Pages 1-22

  • On Board NOx Prediction in Diesel Engines: A Physical Approach

    Arrègle, Jean (et al.)

    Pages 25-36

  • Mean Value Engine Models Applied to Control System Design and Validation

    Calendini, Pierre Olivier (et al.)

    Pages 37-52

  • Physical Modeling of Turbocharged Engines and Parameter Identification

    Eriksson, Lars (et al.)

    Pages 53-71

  • Dynamic Engine Emission Models

    Hirsch, Markus (et al.)

    Pages 73-87

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-84996-071-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $209.00
price for USA
  • ISBN 978-1-84996-070-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Automotive Model Predictive Control
Book Subtitle
Models, Methods and Applications
Editors
  • Luigi Del Re
  • Frank Allgöwer
  • Luigi Glielmo
  • Carlos Guardiola
  • Ilya Kolmanovsky
Series Title
Lecture Notes in Control and Information Sciences
Series Volume
402
Copyright
2010
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84996-071-7
DOI
10.1007/978-1-84996-071-7
Softcover ISBN
978-1-84996-070-0
Series ISSN
0170-8643
Edition Number
1
Number of Pages
XIV, 290
Number of Illustrations and Tables
152 b/w illustrations
Topics