1 citations · 2 across the 9 of their papers we have counts for
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Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations
Christopher Anthony Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy
Applying nonlinear model predictive control (NMPC) to systems with hybrid dynamics or discrete actions typically yields mixed-integer nonlinear programs (MINLPs), whose real-time s…
MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Christopher A. Orrico, Hari Prasad Varadarajan, Matthijs van Berkel +4
Control of the density profile based on pellet fueling for the ITER nuclear fusion tokamak involves a multi-rate nonlinear system with safety-critical constraints, input delays, an…
A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions
Domagoj Herceg, Marco DellOro, Riccardo Bertollo +5
This paper presents a scenario-based model predictive control (MPC) scheme designed to control an evolving pandemic via non-pharmaceutical intervention (NPIs). The proposed approac…
Learning the cost-to-go for mixed-integer nonlinear model predictive control
Christopher A. Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy
Application of nonlinear model predictive control (NMPC) to problems with hybrid dynamical systems, disjoint constraints, or discrete controls often results in mixed-integer formul…