140 citations · 401 across the 23 of their papers we have counts for
4 papers · 1 filter
Model structures and fitting criteria for system identification with neural networks
Marco Forgione, Dario Piga
This paper focuses on the identification of dynamical systems with tailor-made model structures, where neural networks are used to approximate uncertain components and domain knowl…
Efficient Calibration of Embedded MPC
Marco Forgione, Dario Piga, Alberto Bemporad
Model Predictive Control (MPC) is a powerful and flexible design tool of high-performance controllers for physical systems in the presence of input and output constraints. A challe…
Active preference learning based on radial basis functions
Alberto Bemporad, Dario Piga
This paper proposes a method for solving optimization problems in which the decision-maker cannot evaluate the objective function, but rather can only express a preference such as…
Performance-oriented model learning for data-driven MPC design
Dario Piga, Marco Forgione, Simone Formentin +1
Model Predictive Control (MPC) is an enabling technology in applications requiring controlling physical processes in an optimized way under constraints on inputs and outputs. Howev…