Backstepping-based distributed abnormality localization for linear parabolic distributed parameter systems
type: Item
instance of: scholarly article
title: Backstepping-based distributed abnormality localization for linear parabolic distributed parameter systems
zbMATH Open document ID: 1480.93193
author: Yun Feng
author: Yaonan Wang
author: Jun-Wei Wang
author: Han-Xiong Li
published in: Automatica
publication date: 2021-12-14T00:00:00Z
review text: This paper focus attention on the abnormality localization issue of the distributed parameter systems with related to the spatial domain, which is different from the fault detection in time domain. A systematic framework is presented to settle this issue for a class of linear parabolic PDEs by additional a limited number of in-domain measurements except one boundary measurement rather than the full-state measurement. The proposed methodology involves two designs: one is an abnormality detection filter (ADF) design and the other is an abnormality localization filter (ALF) design. Employing the backstepping transformation and eigen-spectrum, the residual evaluation functions are directly constructed. As an verification of the effectiveness of the proposed method, numerical simulations on a heat transfer rod are conducted.
reviewed by: Gen Qi Xu
Mathematics Subject Classification ID: 93C20
Mathematics Subject Classification ID: 93C05
zbMATH DE Number: 7444281
zbMATH Keywords: distributed parameter systems
zbMATH Keywords: fault detection
zbMATH Keywords: fault localization
MaRDI profile type: Publication
full work available at URL: j.automatica.2021.109930
OpenAlex ID: W3209012130
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DOI: 10.1016/J.AUTOMATICA.2021.109930
description: scientific article; zbMATH DE number 7444281