This book presents a step-by-step guide to engine control system design, providing case studies and a thorough analysis of the modelling process, using model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, it enables engineers to improve performance in both hybrid and non-hybrid vehicles.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Amir-Mohammad Shamekhi received his PhD in Automobile Control from K. N. Toosi University of Technology, Tehran, Iran, in 2021, and was chosen as the superior researcher of the Department of Mechanical Engineering. His works concern Control and Machine Learning, and their applications particularly in vehicles, about which he has published in several journal papers.
Amir Hossein Shamekhi received his B.Sc. in Mechanical Engineering from Tehran University, Tehran, Iran, in 1993. Carrying on his studies, he obtained M.Sc. from K. N. Toosi University of Technology, Tehran, Iran, in 1997. Receiving his PhD in 2004, Dr. Shamekhi was the first PhD alumni of Mechanical Engineering in K. N. Toosi University of Technology, where he is currently Associate Professor in the faculty of Mechanical Engineering. His fields of study include internal combustion engines, mechatronics, and automotive transmission.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
EUR 10,23 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisVendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 409124912
Quantité disponible : 3 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781032346151
Quantité disponible : Plus de 20 disponibles
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Amir-Mohammad Shamekhi received his PhD in Automobile Control from K. N. Toosi University of Technology, Tehran, Iran, in 2021, and was chosen as the superior researcher of the Department of Mechanical Engineering. His works concern Cont. N° de réf. du vendeur 2322808773
Quantité disponible : Plus de 20 disponibles
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 192 pages. 9.00x6.00 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __1032346159
Quantité disponible : 1 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. N° de réf. du vendeur 18404062181
Quantité disponible : 3 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. 1st edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26404062191
Quantité disponible : 4 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a step-by-step guide to engine control system design, providing case studies and a thorough analysis of the modelling process, using model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, it enables engineers to improve performance in both hybrid and non-hybrid vehicles. N° de réf. du vendeur 9781032346151
Quantité disponible : 1 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 192 pages. 9.00x6.00x9.02 inches. In Stock. N° de réf. du vendeur x-1032346159
Quantité disponible : 2 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. This book presents a step-by-step guide to the engine control system design, providing case studies and a thorough analysis of the modeling process using machine learning, and model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, MPC enables engineers to improve performance in both hybrid and non-hybrid vehicles.Control system improvement is one of the major priorities for engineers seeking to enhance an engine. Often possible on a low budget, substantial improvements can be made by applying cutting-edge methods, such as artificial intelligence when modeling engine control system designs and using MPC. This book presents approaches to control system improvement at mid, low, and high levels of control. Beginning with the model-in-the-loop hierarchical control design of ported fuel injection SI engines, this book focuses on optimal control of both transient and steady state and also discusses hardware-in-the-loop. The chapter on low-level control discusses adaptive MPC and adaptive variable functioning, as well as designing a fuel injection feed-forward controller. At mid-level control, engine calibration maps are discussed, with consideration of constraints such as limits on pollutant emissions. Finally, the high-level control methodology is discussed in detail in relation to transient torque control of SI engines.This comprehensive yet clear guide to control system improvement is an essential read for any engineer working in automotive engineering and engine control system design. This book presents a step-by-step guide to engine control system design, providing case studies and a thorough analysis of the modelling process, using model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, it enables engineers to improve performance in both hybrid and non-hybrid vehicles. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032346151
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. This book presents a step-by-step guide to the engine control system design, providing case studies and a thorough analysis of the modeling process using machine learning, and model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, MPC enables engineers to improve performance in both hybrid and non-hybrid vehicles.Control system improvement is one of the major priorities for engineers seeking to enhance an engine. Often possible on a low budget, substantial improvements can be made by applying cutting-edge methods, such as artificial intelligence when modeling engine control system designs and using MPC. This book presents approaches to control system improvement at mid, low, and high levels of control. Beginning with the model-in-the-loop hierarchical control design of ported fuel injection SI engines, this book focuses on optimal control of both transient and steady state and also discusses hardware-in-the-loop. The chapter on low-level control discusses adaptive MPC and adaptive variable functioning, as well as designing a fuel injection feed-forward controller. At mid-level control, engine calibration maps are discussed, with consideration of constraints such as limits on pollutant emissions. Finally, the high-level control methodology is discussed in detail in relation to transient torque control of SI engines.This comprehensive yet clear guide to control system improvement is an essential read for any engineer working in automotive engineering and engine control system design. This book presents a step-by-step guide to engine control system design, providing case studies and a thorough analysis of the modelling process, using model predictive control (MPC). Covering advanced processes alongside the theoretical foundation, it enables engineers to improve performance in both hybrid and non-hybrid vehicles. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032346151
Quantité disponible : 1 disponible(s)