Adaptive neural control for a class of outputs time-delay nonlinear systems
type: Item
instance of: scholarly article
title: Adaptive neural control for a class of outputs time-delay nonlinear systems
zbMATH Open document ID: 1264.93110
DOI: 10.1155/2012/852161
author: Jie Li
author: Ruliang Wang
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: We consider an adaptive neural control for a class of outputs time-delay nonlinear systems with perturbed or no. Based on RBF neural networks, the radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions. The proposed control guarantees that all closed-loop signals remain bounded. The simulation results demonstrate the effectiveness of the proposed control scheme.
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93C23
zbMATH DE Number: 6173638
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/852161
OpenAlex ID: W2092871041
Wikidata QID: Q58912241
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description: scientific article; zbMATH DE number 6173638