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A comparison of methods to eliminate regularization weight tuning from data-enabled predictive control
Data-enabled predictive control (DeePC) is a recently established form of Model Predictive Control (MPC), based on behavioral systems theory.
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result
Data-driven control approaches for the minimization of energy consumption of buildings have the potential to significantly reduce deployment costs and increase uptake of advanced control in this sector.
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