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Learning symbolic models of dynamical systems through Kolmogorov–Arnold Networks(KANs)in centralized and distributed settings

Alessandro Giuseppi Danilo Menegatti Antonio Pietrabissa

Journal of Automation and Intelligence2026,Vol.5Issue(2):P.155-165,11.
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Journal of Automation and Intelligence2026,Vol.5Issue(2):P.155-165,11.DOI:10.1016/j.jai.2025.11.005

Learning symbolic models of dynamical systems through Kolmogorov–Arnold Networks(KANs)in centralized and distributed settings

Alessandro Giuseppi 1Danilo Menegatti 1Antonio Pietrabissa1

作者信息

  • 1. Department of Computer,Control and Management Engineering,Sapienza University of Rome,Rome,00185,Italy
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摘要

关键词

Model identification/Kolmogorov–Arnold Networks(KANs)/Data-driven systems/Symbolic regression

分类

信息技术与安全科学

引用本文复制引用

Alessandro Giuseppi,Danilo Menegatti,Antonio Pietrabissa..Learning symbolic models of dynamical systems through Kolmogorov–Arnold Networks(KANs)in centralized and distributed settings[J].Journal of Automation and Intelligence,2026,5(2):P.155-165,11.

Journal of Automation and Intelligence

2097-504X

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