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Alberto Bemporad
Also published under:A. Bemporad
Affiliation
IMT School for Advanced Studies, Piazza San Francesco 19, Lucca, Italy
Topic
Model Predictive Control,Optimization Problem,Linear System,Optimal Control,Numerical Examples,Prediction Horizon,Quadratic Programming,Linear Parameter Varying,Model Predictive Control Problem,Polytope,Additive Disturbances,Inverse Distance Weighting,Acquisition Function,Asymptotically Stable,Control Input,Cost Function,Feasible Set,Input Constraints,Linear Model,Linear Time-invariant Systems,Model Predictive Control Strategy,Neural Network,Nonlinear Systems,Parameter Vector,State-space Model,System Constraints,Active Learning,Automated Vehicles,Bayesian Optimization,Computation Of Sets,Computation Time,Control Horizon,Convergence Rate,Decentralized Control,Discrete-time,Equality Constraints,Feed-forward Network,Functional Support,Global Optimization,Global Optimization Problem,Hidden State,Inequality Constraints,Kalman Filter,Linear Inequalities,Linear Matrix Inequalities,Linear Parameter-varying Systems,Linear Prediction,Linear Programming,Linear Time-invariant,Lipschitz Continuous,
Biography
Alberto Bemporad (Fellow, IEEE) received the master’s degree in electrical engineering and the Ph.D. degree in control engineering from the University of Florence, Italy, in 1993 and 1997, respectively. From 1996 to 1997, he was with the Center for Robotics and Automation, Department of Systems Science and Mathematics, Washington University, St. Louis. From 1997 to 1999, he was a Postdoctoral Researcher with the Automatic Control Laboratory, ETH Zurich, Switzerland, where he collaborated as a Senior Researcher, until 2002. From 1999 to 2009, he was with the Department of Information Engineering, University of Siena, Italy, becoming an Associate Professor, in 2005. From 2010 to 2011, he was with the Department of Mechanical and Structural Engineering, University of Trento, Italy. Since 2011, he has been a Full Professor with the IMT School for Advanced Studies Lucca, Italy, where he worked as the Director of the institute, from 2012 to 2015. He spent visiting periods at Stanford University, University of Michigan, and Zhejiang University. In 2011, he co-founded ODYS S.r.l., a company specialized in developing model predictive control systems for industrial production. He has published more than 400 articles in the areas of model predictive control, hybrid systems, optimization, and automotive control, and is the co-inventor of 16 patents. He is the author or coauthor of various software packages for model predictive control design and implementation, including the Model Predictive Control Toolbox (The Mathworks, Inc.) and the Hybrid Toolbox for MATLAB. He received the IFAC High-Impact Paper Award for the 2011–2014 triennial and the IEEE CSS Transition to Practice Award in 2019. He was an Associate Editor of the IEEE Transactions on Automatic Control, during 2001–2004, and the Chair of the Technical Committee on Hybrid Systems of the IEEE Control Systems Society, during 2002–2010.