Automotive Model Predictive Control : Models, Methods and Applications
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 compl...
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| Altri autori: | , , , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
London :
Springer London
2010.
|
| Edizione: | 1st ed. 2010. |
| Serie: | Lecture Notes in Control and Information Sciences
402 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Automotive Model Predictive Control, Texte imprimé, 9781849960700 |
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| 245 | 0 | 0 | |a Automotive Model Predictive Control : |b Models, Methods and Applications |c edited by Luigi Re, Frank Allgöwer, Luigi Glielmo, Carlos Guardiola, Ilya Kolmanovsky. |
| 250 | |a 1st ed. 2010. | ||
| 256 | |a Données textuelles | ||
| 260 | |a London : |b Springer London, |c 2010. | ||
| 490 | 0 | |a Lecture Notes in Control and Information Sciences |v 402 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Chances and Challenges in Automotive Predictive Control Chances and Challenges in Automotive Predictive Control I: Models On Board NOx Prediction in Diesel Engines: A Physical Approach Mean Value Engine Models Applied to Control System Design and Validation Physical Modeling of Turbocharged Engines and Parameter Identification Dynamic Engine Emission Models Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics II: Methods An Overview of Nonlinear Model Predictive Control Optimal Control Using Pontryagin s Maximum Principle and Dynamic Programming On the Use of Parameterized NMPC in Real-time Automotive Control III: Applications An Application of MPC Starting Automotive Spark Ignition Engine in SICE Benchmark Problem Model Predictive Control of Partially Premixed Combustion Model Predictive Powertrain Control: An Application to Idle Speed Regulation On Low Complexity Predictive Approaches to Control of Autonomous Vehicles Toward a Systematic Design for Turbocharged Engine Control An Integrated LTV-MPC Lateral Vehicle Dynamics Control: Simulation Results MIMO Model Predictive Control for Integral Gas Engines A Model Predictive Control Approach to Design a Parameterized Adaptive Cruise Control | |
| 520 | |a 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 | ||
| 538 | |a Nécessite un lecteur de fichier PDF | ||
| 650 | |a Commande automatique | ||
| 650 | |a Théorie de la commande | ||
| 650 | |a Ingénierie | ||
| 700 | 1 | |a Guardiola, Carlos. |4 edt | |
| 700 | 1 | |a Allgöwer, Frank, |d 1962-...., |c informaticien. |4 edt | |
| 700 | 1 | |a Glielmo, Luigi, |d 19..- |4 edt | |
| 700 | 1 | |a Kolmanovsky, Ilya. |4 edt | |
| 700 | 1 | |a Del Re, Luigi. |4 edt | |
| 776 | 0 | |t Automotive Model Predictive Control |b Texte imprimé |z 9781849960700 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-84996-071-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |q PDF |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-0VCNTF2Z-S |z Accès sur la plateforme Istex | |
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| 997 | |0 1403763 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||