Network-based \(\mathcal{H}_\infty\) state estimation for neural networks using imperfect measurement
type: Item
instance of: scholarly article
title: Network-based \(\mathcal{H}_\infty\) state estimation for neural networks using imperfect measurement
zbMATH Open document ID: 1426.93321
author: Tae H. Lee
author: Ju H. Park
author: Ho-Youl Jung
published in: Applied Mathematics and Computation
publication date: 2019-04-29T00:00:00Z
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 7048981
zbMATH Keywords: neural network
zbMATH Keywords: state estimation
zbMATH Keywords: \( \mathcal{H}_\infty\) control
zbMATH Keywords: sampling
zbMATH Keywords: transmission delay
zbMATH Keywords: packet dropout
MaRDI profile type: Publication
full work available at URL: j.amc.2017.08.034
OpenAlex ID: W2752996075
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DOI: 10.1016/J.AMC.2017.08.034
description: scientific article; zbMATH DE number 7048981