Springer Theses

Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares

Authors: Gallieri, Marco

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  • 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
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eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-319-27963-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-27961-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
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  • ISBN 978-3-319-80247-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to continuous movements of all actuators, this approach enables a selected subset of actuators to be used, the others being brought into play in exceptional circumstances. The same approach can also be used to obtain asynchronous actuator interventions, so that control actions are only taken in response to large disturbances. This thesis presents a straightforward and systematic approach to achieving these practical properties, which are ignored by mainstream control theory.

About the authors

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.

Table of contents (9 chapters)

  • Introduction

    Gallieri, Marco

    Pages 1-8

    Preview Buy Chapter 30,19 €
  • Background

    Gallieri, Marco

    Pages 9-45

    Preview Buy Chapter 30,19 €
  • Principles of LASSO MPC

    Gallieri, Marco

    Pages 47-63

    Preview Buy Chapter 30,19 €
  • Version 1: $$\ell _1$$ ℓ 1 -Input Regularised Quadratic MPC

    Gallieri, Marco

    Pages 65-83

    Preview Buy Chapter 30,19 €
  • Version 2: LASSO MPC with Stabilising Terminal Cost

    Gallieri, Marco

    Pages 85-110

    Preview Buy Chapter 30,19 €

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-319-27963-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-27961-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-319-80247-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares
Authors
Series Title
Springer Theses
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-27963-3
DOI
10.1007/978-3-319-27963-3
Hardcover ISBN
978-3-319-27961-9
Softcover ISBN
978-3-319-80247-3
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXX, 187
Number of Illustrations
10 b/w illustrations, 54 illustrations in colour
Topics