On the adaptation of recurrent neural networks for system identification

DOI10.1016/j.automatica.2023.111092zbMath1520.93100arXiv2201.08660MaRDI QIDQ6109982

Marco Gallieri, Aneri Muni, Marco Forgione, Dario Piga

Publication date: 31 July 2023

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.08660

zbMATH Keywords

recurrent neural networksidentification methodsmodel adaptationdeep learninglinear/nonlinear models

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) System identification (93B30)

Cites Work

• Continuous-time system identification with neural networks: model structures and fitting criteria
• The Koopman Operator in Systems and Control
• The elements of statistical learning. Data mining, inference, and prediction
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