Davide Martino Raimondo
 Associate Professor
                            Department of Industrial Engineering and Information                                                        
University of Pavia
                                                        Italy
                        
Biography
Davide M. Raimondo was born in Pavia, Italy, in 1981. He received the B.Sc. and M.Sc. in Computer Engineering, and the Ph.D. in Electronics, Computer Science and Electrical Engineering from the University of Pavia, Italy, in 2003, 2005, and 2009, respectively. As a Ph.D. student he held a visiting position at the Department of Automation and Systems Engineering, University of Seville, Spain. From January 2009 to December 2010 he was a postdoctoral fellow in the Automatic Control Laboratory, ETH Zürich, Switzerland. From March to June 2012, August to September 2013 and September to November 2014 he was visiting scholar in Prof. Braatz Group, Department of Chemical Engineering, MIT, USA. From December 2010 to May 2015 he was Assistant Professor at University of Pavia, Italy. Since May 2015 he is Associate Professor at University of Pavia, Italy.
Research Interest
Optimization-based control, model predictive control, fault-tolerant control, distributed control, high-speed control, autonomous surveillance, renewable energy and control of glucose concentration in subjects with diabetes
Publications
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                            Raimondo D.M., M.Rubagotti, C.N.Jones, L.Magni, A.Ferrara and M.Morari, Multirate sliding mode disturbance compensation for model predictive control, International Journal of Robust and Nonlinear Control, 2014 
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                            Raimondo D. M, M. Rubagotti, C.N. Jones, L. Magni, A. Ferrara, M. Morari, Multirate sliding mode disturbance compensation for model predictive control, International Journal of Robust and Nonlinear Control,25, 16, 2984-3003, 2015 
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                            Torchio M., L. Magni, R. B. Gopaluni, R. D. Braatz and D. M. Raimondo, LIONSIMBA -- A Matlab framework based on a finite volume model suitable for Li-ion battery design, simulation, and control, Journal of The Electrochemical Society, 163, (7), A1192-A1205, 2016 

