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 autho
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Luigi del Re, Frank Allgöwer, Luigi Glielmo, Carlos Guardiola, and Ilya Kolmanovsky (Eds.)
Automotive Model Predictive Control Models, Methods and Applications
ABC
Series Advisory Board P. Fleming, P. Kokotovic, A.B. Kurzhanski, H. Kwakernaak, A. Rantzer, J.N. Tsitsiklis
Editors Luigi del Re
Carlos Guardiola
Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Altenbergerstr. 69 4040 Linz
Universidad Politécnica de Valencia (UPV) Departamento de Máquinas y Motores Térmicos Camino de Vera, s/n. 46022 Valencia (Spain)
Frank Allgöwer
Ilya Kolmanovsky
Institute for Systems Theory and Automatic Control, University of Stuttgart Pfaffenwaldring 9 70550 Stuttgart
Technical Leader, Powertrain Control R&A Ford Research and Adv. Engineering Ford Motor Company 2101 Village Road Dearborn, MI 48124
Luigi Glielmo Università del Sannio in Benevento Facoltà di Ingegneria Corso Garibaldi 107, 82100 Benevento Ordinario di Automatica
ISBN 978-1-84996-070-0
e-ISBN 978-1-84996-071-7
DOI 10.1007/978-1-84996-071-7 Lecture Notes in Control and Information Sciences Library of Congress Control Number: 2009943555 c
ISSN 0170-8643
2010 Springer-Verlag Berlin Heidelberg
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Preface
Automotive control has developed over the decades from an auxiliary technology 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 difficult tuning. The progressive evolution has been mainly led by specific applications and short term targets, with the consequence that 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 background there is wide consensus both in the indu
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