Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications - Couverture souple

Albin Rajasingham, Thivaharan

 
9783030680121: Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications

Synopsis

Covers a wide range of combustion engine control problems from innovative airpath concepts to new combustion concepts
Provides readers with a systematic insight into the modeling and optimization-based control of complex combustion engine systems

Explains application examples in detail, which have been successfully implemented on real-world combustion engines and real-world vehicles tested on public roads

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À propos de l?auteur

Thivaharan Albin Rajasingham received his Diploma in 2008 from the Technical University of Braunschweig (Germany) and the University of Waterloo (Canada), and his PhD in Mechanical Engineering in 2013 from RWTH Aachen University. From 2013 - 2016 he worked as a senior engineer at the Institute of Automatic Control at RWTH Aachen University. Afterwards, from 2017 - 2019, he worked as a senior researcher and lecturer at the Institute of Dynamic Systems and Control at ETH Zürich, Switzerland. In 2019 he joined Embotech AG as the head of industrial automation solutions.

In his career, Dr. Albin Rajasingham has focused on the application of nonlinear model predictive control to complex systems. He has won various prizes and has been awarded several major research grants for interdisciplinary research projects, such as spokesperson of the Research Unit 2401 "Optimization-based Multiscale Control of Low-Temperature Combustion Engines" funded by the German Research Foundation (DFG). His work has resulted in a considerable amount of publications and patents.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783030680091: Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals to Applications

Edition présentée

ISBN 10 :  3030680096 ISBN 13 :  9783030680091
Editeur : Springer Nature Switzerland AG, 2021
Couverture rigide