2023 - Research.com Electronics and Electrical Engineering in Italy Leader Award
2022 - Research.com Electronics and Electrical Engineering in Italy Leader Award
Alberto Bemporad spends much of his time researching Model predictive control, Mathematical optimization, Control theory, Hybrid system and Linear system. His research integrates issues of Control system, Control engineering, Norm, Open-loop controller and Robustness in his study of Model predictive control. His Mathematical optimization research incorporates themes from Piecewise linear function and Algorithm.
In his study, which falls under the umbrella issue of Control theory, Teleoperation, Synchronization, Telerobotics and Control logic is strongly linked to State. His Hybrid system research is multidisciplinary, incorporating elements of Automaton, Theoretical computer science, Dynamical systems theory, Algebra and Integer programming. His studies deal with areas such as State variable, Estimation and Lyapunov function, Nonlinear system as well as Linear system.
The scientist’s investigation covers issues in Model predictive control, Control theory, Mathematical optimization, Hybrid system and Optimal control. His Model predictive control research includes elements of Control system, Linear system, Exponential stability, Control engineering and Algorithm. Alberto Bemporad combines subjects such as Piecewise linear function and Set with his study of Control theory.
His Mathematical optimization research is multidisciplinary, relying on both Function and Quadratic equation. His biological study spans a wide range of topics, including Automaton, Dynamical systems theory, Discrete time and continuous time, Computation and Integer programming. Alberto Bemporad studies Linear-quadratic-Gaussian control, a branch of Optimal control.
Alberto Bemporad mostly deals with Mathematical optimization, Model predictive control, Control theory, Quadratic programming and Nonlinear system. His Mathematical optimization study incorporates themes from Quadratic equation and Transaction cost. His study in Model predictive control is interdisciplinary in nature, drawing from both Control system, Linear system, Control engineering, Control theory and Algorithm.
His work on Stability as part of general Control theory research is frequently linked to Horizon, thereby connecting diverse disciplines of science. His Quadratic programming study also includes fields such as
His primary areas of investigation include Model predictive control, Mathematical optimization, Control theory, Quadratic programming and Solver. The various areas that Alberto Bemporad examines in his Model predictive control study include Optimal control, Control engineering, Automotive engineering, Nonlinear system and Robustness. He has researched Control engineering in several fields, including Hybrid system and Matlab toolbox.
His work on Global optimization as part of general Mathematical optimization research is frequently linked to Inverse distance weighting, bridging the gap between disciplines. Alberto Bemporad is studying Control theory, which is a component of Control theory. His studies in Quadratic programming integrate themes in fields like Algorithm, Branch and bound, Sparse matrix and Set.
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Control of systems integrating logic, dynamics, and constraints
Alberto Bemporad;Manfred Morari.
Automatica (1999)
The explicit linear quadratic regulator for constrained systems
Alberto Bemporad;Manfred Morari;Vivek Dua;Efstratios N. Pistikopoulos.
Automatica (2002)
Robust model predictive control: A survey
Alberto Bemporad;Manfred Morari.
Lecture Notes in Control and Information Sciences (1999)
Predictive Control for Linear and Hybrid Systems
Francesco Borrelli;Alberto Bemporad;Manfred Morari.
(2017)
Brief Equivalence of hybrid dynamical models
W. P. M. H. Heemels;B. De Schutter;A. Bemporad.
Automatica (2001)
Model predictive control based on linear programming - the explicit solution
A. Bemporad;F. Borrelli;M. Morari.
IEEE Transactions on Automatic Control (2002)
Observability and controllability of piecewise affine and hybrid systems
A. Bemporad;G. Ferrari-Trecate;R. Morari.
conference on decision and control (1999)
Observability and controllability of piecewise affine and hybrid systems
A. Bemporad;G. Ferrari-Trecate;M. Morari.
IEEE Transactions on Automatic Control (2000)
Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Petter TøNdel;Tor Arne Johansen;Alberto Bemporad.
Automatica (2003)
Min-max control of constrained uncertain discrete-time linear systems
A. Bemporad;F. Borrelli;M. Morari.
IEEE Transactions on Automatic Control (2003)
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