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...

Celý popis

Podrobná bibliografia

Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 16; s. 5935
Hlavní autori:	Alwan, Nuha A. S., Hussain, Zahir M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2022 MDPI
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!