Stability analysis of neural net controllers using fuzzy neural networks
type: Item
instance of: scholarly article
title: Stability analysis of neural net controllers using fuzzy neural networks
zbMATH Open document ID: 0953.93047
DOI: 10.1016/S0165-0114(98)00172-9
author: Wolfram-M. Lippe
author: Andreas Tenhagen
author: Thomas Feuring
author: James J. Buckley
published in: Fuzzy Sets and Systems
publication date: 2001-02-01T00:00:00Z
review text: The authors consider the discrete feedback model \[ \begin{aligned} Y_{k +1} & = P(Y_k,u_k)\\ u_k & =C(e_k,\Delta e_k),\;e_k=Y_k-s,\;\Delta e_k=e_k-e_{k-1}\end{aligned} \] and the stabilizability problem, i.e., existence of \(C(\cdot, \cdot)\) such that \(|Y_k-s |< \varepsilon\) for \(k>k_0\). One studies the fuzzy neural network implementation of the feedback stabilizer \(C\) (here, a fuzzy neural network is a neural network that has fuzzy functions as weights).
reviewed by: Vladimir Răsvan
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93D15
zbMATH DE Number: 1328242
zbMATH Keywords: tracking
zbMATH Keywords: discrete model
zbMATH Keywords: fuzzy neural network
MaRDI profile type: Publication
cites work: Q3686575
cites work: Q5614853
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description: scientific article; zbMATH DE number 1328242