3 papers
cs.RO2023
A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers
Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy +5
This paper presents a Bayesian optimization framework for the automatic tuning of shared controllers which are defined as a Model Predictive Control (MPC) problem. The proposed fra…
eess.SY2023
Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks
Christopher A. Orrico, Matthijs van Berkel, Thomas O. S. J. Bosman +2
Model predictive control (MPC) is promising for fueling and core density feedback control in nuclear fusion tokamaks, where the primary actuators, frozen hydrogen fuel pellets fire…
math.OC2023
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers
Dinesh Krishnamoorthy, Joel A. Paulson
Bayesian optimization (BO) is a powerful black-box optimization framework that looks to efficiently learn the global optimum of an unknown system by systematically trading-off betw…