In this paper, we propose a data-driven predictive control scheme based on measured frequency-domain data of the plant. This novel scheme complements the well-known data-driven predictive control (DeePC) approach based on time series data. To develop this new frequency-domain data-driven predictive control (FreePC) scheme, we introduce a novel version of Willems' fundamental lemma based on frequency-domain data. By exploiting frequency-domain data, we allow recent direct data-driven (predictive) control methodologies to benefit from the available expertise and techniques for non-parametric frequency-domain identification in academia and industry. We prove that, under appropriate conditions, the new FreePC scheme is equivalent to the corresponding DeePC scheme. The strengths of FreePC are demonstrated in a numerical case study.
@article{arxiv.2406.12498,
title = {Frequency-Domain Data-Driven Predictive Control},
author = {T. J. Meijer and S. A. N. Nouwens and K. J. A. Scheres and V. S. Dolk and W. P. M. H. Heemels},
journal= {arXiv preprint arXiv:2406.12498},
year = {2024}
}