Automotive Model Predictive Control: Models, Methods and Applications (Lecture Notes in Control and Information Sciences)
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Editor: Luigi Del Re, Editor: Frank Allgöwer, Editor: Luigi Glielmo, Editor: Carlos Guardiola, Editor: Ilya Kolmanovsky
Automotive Model Predictive Control: Models, Methods and Applications (Lecture Notes in Control and Information Sciences) (2010)
EN PB USISBN: 9781849960700 bzw. 1849960704, in Englisch, 290 Seiten, 2010. Ausgabe, Springer, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, JSW Media.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 3591307.
Von Händler/Antiquariat, JSW Media.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 3591307.
2
Editor: Luigi Del Re, Editor: Frank Allgöwer, Editor: Luigi Glielmo, Editor: Carlos Guardiola, Editor: Ilya Kolmanovsky
Automotive Model Predictive Control: Models, Methods and Applications (Lecture Notes in Control and Information Sciences) (2010)
EN PB NWISBN: 9781849960700 bzw. 1849960704, in Englisch, 290 Seiten, 2010. Ausgabe, Springer, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, PBShop UK.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 4231102.
Von Händler/Antiquariat, PBShop UK.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 4231102.
3
Editor: Luigi Del Re, Editor: Frank Allgöwer, Editor: Luigi Glielmo, Editor: Carlos Guardiola, Editor: Ilya Kolmanovsky
Automotive Model Predictive Control: Models, Methods and Applications (Lecture Notes in Control and Information Sciences) (2010)
EN PB USISBN: 9781849960700 bzw. 1849960704, in Englisch, 290 Seiten, 2010. Ausgabe, Springer, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, mygrandmasgoodies.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 4231102.
Von Händler/Antiquariat, mygrandmasgoodies.
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. Paperback, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-03-11, Studio: Springer, Verkaufsrang: 4231102.
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Symbolbild
Automotive Model Predictive Control (2010)
EN PB NWISBN: 9781849960700 bzw. 1849960704, in Englisch, Springer-Verlag Gmbh Apr 2010, Taschenbuch, neu.
Von Händler/Antiquariat, sparbuchladen [52968077], Göttingen, Germany.
Neuware - 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. 290 pp. Englisch.
Neuware - 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. 290 pp. Englisch.
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Symbolbild
del Re, Luigi (EDT)/ Allgower, Frank (EDT)/ Glielmo, Luigi (EDT)/ Guardiola, Carlos (EDT)/ Kolmanovsky, Ilya (EDT)
Automotive Model Predictive Control (2010)
EN PB NWISBN: 9781849960700 bzw. 1849960704, in Englisch, Springer Verlag, Taschenbuch, neu.
Von Händler/Antiquariat, Media Mall [57912909], Fyshwick, ACT, Australia.
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