Year: 2024
Type: conference-paper
Abstract: This work investigates the computational efficiency of Data-EnablEd Predictive Control (DeePC) reformulations. Based on Willems’ fundamental lemma, this control method uses Hankel matrices to represent system dynamics. The size—in particular the number of columns—of these Hankel matrices can incur a significant computational complexity, which has seen several attempts at being reduced. We propose a reformulation of DeePC aiming for lower complexity and show online recursive updates of the data matrix. The method’s effectiveness is illustrated by results obtained in simulation.
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4394737605