Overview
- Proposes a novel Model Predictive Control (MPC) strategy
- Presents a straightforward and systematic approach to obtaining asynchronous actuator interventions
- Outperforms more common MPC strategies when tested on vessel roll reduction
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the author
Marco Gallieri received a PhD in Engineering as an EPSRC scholar from Sidney Sussex College, the University of Cambridge, in 2014. His research was on Model Predictive Control for redundantly actuated systems, with focus on marine and air vehicles. In 2007 he received a BSc and in 2009 an MSc in information and industrial automation engineering from the Universita’ Politecnica delle Marche, in Italy. He wrote his MSc thesis in 2009 during an Erasmus exchange at the National University of Ireland Maynooth in collaboration with BioAtlantis Ltd and Enterprise Ireland. The topic was modeling and control design for a crane-vessel for seaweed harvesting. Between May and September 2010 he was a Marie Curie early state researcher at the Instituto Superior Tecnico in Lisbon, working on non-linear methods for formation control of autonomous underwater vehicles with range only measurements. He is author of ten international conference papers as well as a Journal article.
Since February 2014 he is with McLaren Racing Ltd. From July 2015 he is involved in the development of the F1 car simulator. Previously he worked as a control systems engineer and developed a model based Li-Ion battery management system for the 2015 Honda power unit. Further relevant projects included car speed and attitude estimation via sensor fusion, predictive analytics for fuel sensor management and fuel system design optimization.
Bibliographic Information
Book Title: Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares
Authors: Marco Gallieri
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-27963-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-27961-9Published: 11 April 2016
Softcover ISBN: 978-3-319-80247-3Published: 25 April 2018
eBook ISBN: 978-3-319-27963-3Published: 31 March 2016
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXX, 187
Number of Illustrations: 10 b/w illustrations, 54 illustrations in colour
Topics: Control and Systems Theory, Systems Theory, Control, Simulation and Modeling