Experimental Realization of Koopman-Model Predictive Control for an AC-DC Converter

Fuente: arXiv
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Hauptverfasser: Hirose, Shun, Mochiyama, Shiu, Susuki, Yoshihiko
Format: Preprint
Veröffentlicht: 2026
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author Hirose, Shun
Mochiyama, Shiu
Susuki, Yoshihiko
author_facet Hirose, Shun
Mochiyama, Shiu
Susuki, Yoshihiko
contents This paper experimentally demonstrates the Koopman-Model Predictive Control (K-MPC) for a real AC-DC converter. The converter is typically modeled with a nonlinear time-variant plant. We introduce a new dynamical approach to lifting measurable dynamics from the plant and constructing a linear time-invariant model that is consistent with control objectives of the converter. We show that the lifting approach, combined with the K-MPC controller, performs well across the full experimental system and outperforms existing control strategies in terms of both steady-state and transient responses.
format Preprint
id arxiv_https___arxiv_org_abs_2602_08303
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Experimental Realization of Koopman-Model Predictive Control for an AC-DC Converter
Hirose, Shun
Mochiyama, Shiu
Susuki, Yoshihiko
Systems and Control
This paper experimentally demonstrates the Koopman-Model Predictive Control (K-MPC) for a real AC-DC converter. The converter is typically modeled with a nonlinear time-variant plant. We introduce a new dynamical approach to lifting measurable dynamics from the plant and constructing a linear time-invariant model that is consistent with control objectives of the converter. We show that the lifting approach, combined with the K-MPC controller, performs well across the full experimental system and outperforms existing control strategies in terms of both steady-state and transient responses.
title Experimental Realization of Koopman-Model Predictive Control for an AC-DC Converter
topic Systems and Control
url https://arxiv.org/abs/2602.08303