Active-varying sampling-based fault detection filter design for networked control systems
type: Item
instance of: scholarly article
title: Active-varying sampling-based fault detection filter design for networked control systems
zbMATH Open document ID: 1407.93121
DOI: 10.1155/2014/406916
author: Yu-Long Wang
author: Tian-Bao Wang
author: Wei-Wei Che
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: This paper is concerned with fault detection filter design for continuous-time networked control systems considering packet dropouts and network-induced delays. The active-varying sampling period method is introduced to establish a new discretized model for the considered networked control systems. The mutually exclusive distribution characteristic of packet dropouts and network-induced delays is made full use of to derive less conservative fault detection filter design criteria. Compared with the fault detection filter design adopting a constant sampling period, the proposed active-varying sampling-based fault detection filter design can improve the sensitivity of the residual signal to faults and shorten the needed time for fault detection. The simulation results illustrate the merits and effectiveness of the proposed fault detection filter design.
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 93D20
Mathematics Subject Classification ID: 93B52
zbMATH DE Number: 7016365
Wikidata QID: Q59066836
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/406916
OpenAlex ID: W2036092422
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description: scientific article; zbMATH DE number 7016365