Distributed fault detection for a class of nonlinear stochastic systems
type: Item
instance of: scholarly article
title: Distributed fault detection for a class of nonlinear stochastic systems
zbMATH Open document ID: 1407.93404
DOI: 10.1155/2014/498630
author: Bingyong Yan
author: Huazhong Wang
author: Huifeng Wang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: A novel distributed fault detection strategy for a class of nonlinear stochastic systems is presented. Different from the existing design procedures for fault detection, a novel fault detection observer, which consists of a nonlinear fault detection filter and a consensus filter, is proposed to detect the nonlinear stochastic systems faults. Firstly, the outputs of the nonlinear stochastic systems act as inputs of a consensus filter. Secondly, a nonlinear fault detection filter is constructed to provide estimation of unmeasurable system states and residual signals using outputs of the consensus filter. Stability analysis of the consensus filter is rigorously investigated. Meanwhile, the design procedures of the nonlinear fault detection filter are given in terms of linear matrix inequalities (LMIs). Taking the influence of the system stochastic noises into consideration, an outstanding feature of the proposed scheme is that false alarms can be reduced dramatically. Finally, simulation results are provided to show the feasibility and effectiveness of the proposed fault detection approach.
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 7016595
Wikidata QID: Q59067918
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/498630
OpenAlex ID: W2123454408
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description: scientific article; zbMATH DE number 7016595