Tuning of extended state observer with neural network-based control performance assessment

DOI10.1016/j.ejcon.2021.12.004zbMath1483.93219arXiv2103.15516OpenAlexW3140494161MaRDI QIDQ2667532

Piotr Kicki, Krzysztof Łakomy, Ki Myung Brian Lee

Publication date: 4 March 2022

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.15516

zbMATH Keywords

neural networkstuningextended state observerESOcontrol performance assessment

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Observers (93B53)

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Uses Software

• NumPy
• TensorFlow
• Adam

Cites Work

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