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BEGIN:VEVENT
SUMMARY:Recent Advances in Embedded Model Predictive Control
DTSTART:20161104T101500
DTEND:20161104T111500
DTSTAMP:20260507T172039Z
UID:dfd2c4322e73b822a9cc431f7a2881645831bc8dcf6792f0c3b29c74
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alberto Bemporad\,  IMT School for Advanced Studies Lucca\nMod
 el Predictive Control (MPC) is one of the most successful techniques adopt
 ed in industry to control multivariable systems in an optimized way under 
 constraints on input and output variables. In MPC\, the manipulated inputs
  are computed in real time by solving a mathematical programming problem\,
  most frequently a Quadratic Program (QP). The QP depends on a model of th
 e dynamics of the system\, that is often learned from experimental data. T
 o adopt MPC in embedded control systems under fast sampling and limited CP
 U and memory resources\, one must be able to solve QP's with high throughp
 ut\, using simple code and executing arithmetic operations under limited m
 achine precision\, and to provide tight estimates of execution time. In my
  talk I will present recent developments in quadratic optimization and sys
 tem identification tailored to embedded MPC.  \n \n\nBio: Alberto Bempor
 ad received his master's degree in Electrical Engineering in 1993 and his 
 Ph.D. in Control Engineering in 1997 from the University of Florence\, Ita
 ly. In 1996/97 he was with the Center for Robotics and Automation\, Depart
 ment of Systems Science & Mathematics\, Washington University\, St. Louis.
  In 1997-1999 he held a postdoctoral position at the Automatic Control Lab
 oratory\, ETH Zurich\, Switzerland\, where he collaborated as a senior res
 earcher until 2002. In 1999-2009 he was with the Department of Information
  Engineering of the University of Siena\, Italy\, becoming an associate pr
 ofessor in 2005. In 2010-2011 he was with the Department of Mechanical and
  Structural Engineering of the University of Trento\, Italy.\n\nSince 2011
  he has been Full Professor at the IMT Institute for Advanced Studies Lucc
 a\, Italy\, where he served as the director of the institute in 2012-2015.
  He spent visiting periods at the University of Michigan and Zhejiang Univ
 ersity. In 2011 he cofounded ODYS S.r.l.\, a consulting and software devel
 opment company specialized in advanced controls and embedded optimization 
 algorithms. He has published more than 300 papers in the areas of model pr
 edictive control\, automotive control\, hybrid systems\, multiparametric o
 ptimization\, computational geometry\, robotics\, and finance. He is autho
 r or coauthor of various MATLAB toolboxes for model predictive control des
 ign\, including the Model Predictive Control Toolbox (The Mathworks\, Inc.
 )\, the Hybrid Toolbox\, the MPCTool and MPCSofT toolboxes developed for t
 he European Space Agency\, and other MPC toolboxes tailored to industrial 
 production. He was an Associate Editor of the IEEE Transactions on Automat
 ic Control during 2001-2004 and Chair of the Technical Committee on Hybrid
  Systems of the IEEE Control Systems Society in 2002-2010. He received the
  IFAC High-Impact Paper Award for the 2011-14 triennial. He has been an IE
 EE Fellow since 2010.  
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STATUS:CONFIRMED
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