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eess.SY2023
A comparison of methods to eliminate regularization weight tuning from data-enabled predictive control
Manuel Koch, Colin N. Jones
Data-enabled predictive control (DeePC) is a recently established form of Model Predictive Control (MPC), based on behavioral systems theory. While eliminating the need to explicit…
eess.SY2021
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result
Yingzhao Lian, Jicheng Shi, Manuel Koch +1
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 c…