Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder

An adaptive deep neural network is used in an inverse system identification setting to approximate the inverse of a nonlinear plant with the aim of constituting the plant controller by copying to the latter the weights and architecture of the converging deep neural network. This deep learning (DL) a...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 16; p. 5935
Main Authors:	Alwan, Nuha A. S., Hussain, Zahir M.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2022 MDPI
Subjects:	adaptive inverse control Algorithms autoencoder Control systems Controllers Deep learning Neural networks nonlinear plant Process controls robust control sensor control Signal processing United States
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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