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

US & West · 2d

arXiv:2602.08303v2 Announce Type: replace Abstract: 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.

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

Read the original: arXiv — Systems and Control (eess.SY)

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

Relevant to DT products

Related

Роман Венедиктов («Эмерджентные мультиагентные системы»): «Сегодня сам факт использования ИИ стал обычной частью корпоративной ИТ-среды»

A minimal model of money creation under regulatory constraints

Machine learning-assisted calibration of Agent-based Models: surrogate-based optimization with Genetic Algorithm and Particle Swarm Optimization