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OverviewFull Product DetailsAuthor: Marco GallieriPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2016 Dimensions: Width: 15.50cm , Height: 1.40cm , Length: 23.50cm Weight: 4.557kg ISBN: 9783319279619ISBN 10: 3319279610 Pages: 187 Publication Date: 11 April 2016 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Background.- Principles of LASSO MPC.- Version 1: `1-Input Regularised Quadratic MPC.- Version 2: LASSO MPC with stabilising terminal cost.- Design of LASSO MPC for prioritised and auxiliary actuators.- Robust Tracking with Soft-constraints.- Ship roll reduction with rudder and fins.- Concluding Remarks.ReviewsAuthor InformationMarco 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. Tab Content 6Author Website:Countries AvailableAll regions |
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