Professor of Control Systems
IMT Institute for Advanced Studies Lucca
Piazza San Francesco 19 [map]
55100 Lucca, Italy
Tel: +39 0583 4326600
Fax: +39 02 700 543345
Model predictive control, numerical optimization, hybrid systems,
automotive and aerospace control, financial engineering, energy markets and smart grids, water networks, polyhedral computation, wireless sensor networks, robotics.
Alberto Bemporad was born in Florence on March 26, 1970. He received his master's degree in Electrical Engineering in 1993 and his Ph.D. in Control Engineering in 1997 from the University of Florence, Italy. He spent the 1996/97 academic year at the Center for Robotics and Automation, Department of Systems Science & Mathematics, Washington University, St. Louis, as a visiting researcher. In 1997-1999 he held a postdoctoral position at the Automatic Control Laboratory, ETH Zurich, Switzerland, where he collaborated as a senior researcher in 2000-2002. In 1999-2009 he was with the Department of Information Engineering of the University of Siena, Italy, becoming an associate professor in 2005. In 2010-2011 he was with the Department of Mechanical and Structural Engineering of the University of Trento, Italy. In 2011 he joined the IMT Institute for Advanced Studies Lucca, Italy as a full professor, where he also was the Director in 2012-2015. In 2011 he cofounded the company ODYS S.r.l.. He has published more than 250 papers in the areas of control systems, optimization, and their application in several domains (H-Index: see my Google Scholar page). He is author or coauthor of various MATLAB toolboxes for model predictive control design, including the Model Predictive Control Toolbox (The Mathworks, Inc.) and the Hybrid Toolbox. He was an Associate Editor of the IEEE Transactions on Automatic Control during 2001-2004 and Chair of the Technical Committee on Hybrid Systems of the IEEE Control Systems Society in 2002-2010 (read article). He received the IFAC High-Impact Paper Award for the 2011-14 triennial. He has been an IEEE Fellow since 2010.
Read more in my "People in Control" article
To complement and contribute to spread my research, I have developed a number of MATLAB/Simulink toolboxes for model predictive control design. These have been applied in thousands of control design projects in industry and academia