Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: a gain-scheduled approach
type: Item
instance of: scholarly article
title: Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: a gain-scheduled approach
zbMATH Open document ID: 1478.93408
author: Shuai Liu
author: Zidong Wang
author: Yun Chen
author: Guoliang Wei
published in: Neural Networks
publication date: 2021-12-07T00:00:00Z
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93B70
Mathematics Subject Classification ID: 93C43
zbMATH DE Number: 7439697
zbMATH Keywords: artificial neural networks
zbMATH Keywords: state estimation
zbMATH Keywords: randomly occurring delay
zbMATH Keywords: time-varying probability
zbMATH Keywords: dynamic event triggering mechanism
zbMATH Keywords: gain-scheduled approach
MaRDI profile type: Publication
full work available at URL: j.neunet.2020.08.023
OpenAlex ID: W3083341821
Wikidata QID: Q99358267
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DOI: 10.1016/J.NEUNET.2020.08.023
description: scientific article; zbMATH DE number 7439697