Network-based robust \(H_{\infty}\) filtering for the uncertain systems with sensor failures and noise disturbance
type: Item
instance of: scholarly article
title: Network-based robust \(H_{\infty}\) filtering for the uncertain systems with sensor failures and noise disturbance
zbMATH Open document ID: 1264.93051
DOI: 10.1155/2012/945271
author: Mingang Hua
author: Pei Cheng
author: Juntao Fei
author: Jianyong Zhang
author: Junfeng Chen
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: The network-based robust \(H_{\infty}\) filtering for the uncertain system with sensor failures and the noise is considered in this paper. The uncertain system under consideration is also subject to parameter uncertainties and delay varying in an interval. Sufficient conditions are derived for a linear filter such that the filtering error systems are robust globally asymptotically stable while the disturbance rejection attenuation is constrained to a given level by means of the \(H_{\infty}\) performance index. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities (LMIs), and then the explicit expression is then given for the desired filter parameters. Two numerical examples are exploited to show the usefulness and effectiveness of the proposed filter design method.
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 93B07
zbMATH DE Number: 6173715
Wikidata QID: Q58912735
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/945271
OpenAlex ID: W2095284056
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description: scientific article; zbMATH DE number 6173715