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Stochastic economic model predictive control for Markovian switching systems
Pantelis Sopasakis, Domagoj Herceg, Panagiotis Patrinos +1
The optimization of process economics within the model predictive control (MPC) formulation has given rise to a new control paradigm known as economic MPC (EMPC). Several authors h…
Direct data-driven control of constrained linear parameter-varying systems: A hierarchical approach
Dario Piga, Simone Formentin, Alberto Bemporad
In many nonlinear control problems, the plant can be accurately described by a linear model whose operating point depends on some measurable variables, called scheduling signals. W…
LQG Online Learning
Giorgio Gnecco, Alberto Bemporad, Marco Gori +1
Optimal control theory and machine learning techniques are combined to formulate and solve in closed form an optimal control formulation of online learning from supervised examples…
GPU-accelerated stochastic predictive control of drinking water networks
Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad +1
Despite the proven advantages of scenario-based stochastic model predictive control for the operational control of water networks, its applicability is limited by its considerable…