Lasso-MPC Predictive Control with 1-Regularised Least Squares by Marco Gallieri

Description: Lasso-MPC Predictive Control with 1-Regularised Least Squares by Marco Gallieri Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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 "1-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. Author Biography Marco Gallieri received a PhD inEngineering as an EPSRC scholar from Sidney Sussex College, the University ofCambridge, in 2014. His research was on Model Predictive Control forredundantly actuated systems, with focus on marine and air vehicles. In 2007 he received a BSc and in 2009 an MScin information and industrial automation engineering from the UniversitaPolitecnica delle Marche, in Italy. He wrote his MSc thesis in 2009 during anErasmus exchange at the National University of Ireland Maynooth incollaboration with BioAtlantis Ltd and Enterprise Ireland. The topic wasmodeling and control design for a crane-vessel for seaweed harvesting. Between May and September 2010 he was a MarieCurie early state researcher at the Instituto Superior Tecnico in Lisbon,working on non-linear methods for formation control of autonomous underwatervehicles with range only measurements. He is author of ten internationalconference papers as well as a Journal article. Since February 2014 he is with McLaren Racing Ltd. From July2015 he is involved in the development of the F1 car simulator.Previously he worked as a control systems engineer and developed a model basedLi-Ion battery management system for the 2015 Honda power unit. Furtherrelevant projects included car speed and attitude estimation via sensor fusion,predictive analytics for fuel sensor management and fuel system designoptimization. Details ISBN 331980247X ISBN-13 9783319802473 Title Lasso-MPC Predictive Control with 1-Regularised Least Squares Author Marco Gallieri Format Paperback Year 2018 Pages 187 Publisher Springer International Publishing AG GE_Item_ID:158887421; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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