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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Automotive Model Predictive Control: Models, Methods and Applications

Automotive Model Predictive Control: Models, Methods and Applications

del Re, Luigi
Glielmo, Luigi
Allgöwer, Frank

Paperback

Series: Lecture Notes in Control and Information Sciences, Book 402

Technology & Engineering

ISBN10: 1849960704
ISBN13: 9781849960700
Publisher: Springer
Published: Mar 11 2010
Pages: 290
Weight: 0.95
Height: 0.70 Width: 6.10 Depth: 9.00
Language: English
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 fastsystemsandthis 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.

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