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eess.SY2025
The Bias of Subspace-based Data-Driven Predictive Control
Keith Moffat, Florian Dörfler, Alessandro Chiuso
This paper quantifies and addresses the bias of subspace-based Data-Driven Predictive Control (DDPC) for linear, time-invariant (LTI) systems. The primary focus is the bias that ar…
eess.SY2025
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
Sebastian Graf, Keith Moffat, Anurag Mohapatra +2
Grid-connected inverter control is challenging to implement due to the difficulty of obtaining and maintaining an accurate grid model. Direct Data-Driven Predictive Control provide…
eess.SY2025
Regularization for Covariance Parameterization of Direct Data-Driven LQR Control
Feiran Zhao, Alessandro Chiuso, Florian Dörfler
As the benchmark of data-driven control methods, the linear quadratic regulator (LQR) problem has gained significant attention. A growing trend is direct LQR design, which finds th…