20 citations · 21 across the 3 of their papers we have counts for
3 papers
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…
stat.AP2023★ 1 cited
Comparison of behavioral systems theory and conventional linear models for predicting building zone temperature in long-term in situ measurements
Manuel Koch, Colin N. Jones
The potential of Model Predictive Control in buildings has been shown many times, being successfully used to achieve various goals, such as minimizing energy consumption or maximiz…
eess.SY2021★ 20 cited
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…