Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates

This paper focuses on delay-dependent robust fault detection (RFD) problem for continuous-time Markovian jump systems (MJSs) with partly unknown transition rates and time-varying delay. Free-connection weighting matrices are firstly addressed to robust fault detection filter design, which reduce the...

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Main Authors: Chen, F., Yin, YanYan, Liu, F.
Format: Journal Article
Published: Elsevier 2016
Online Access:http://hdl.handle.net/20.500.11937/61111
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author Chen, F.
Yin, YanYan
Liu, F.
author_facet Chen, F.
Yin, YanYan
Liu, F.
author_sort Chen, F.
building Curtin Institutional Repository
collection Online Access
description This paper focuses on delay-dependent robust fault detection (RFD) problem for continuous-time Markovian jump systems (MJSs) with partly unknown transition rates and time-varying delay. Free-connection weighting matrices are firstly addressed to robust fault detection filter design, which reduce the conservatism caused by fixed-connection weighting matrices. By considering Lyapunov stability theory, new delay-dependent stochastic stability criteria are eatablished in terms of linear matrix inequalities (LMIs). Based on this, sufficient conditions are given and proved to guarantee the existence of the robust fault detection filter system. Furthermore, an optimization design approach is derived with an improved cone complementarity linearization algorithm. Finally, a simulation example is given to show that the designed robust fault detection filter can detect the faults sensitively, and also respond robustly to unknown disturbances.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:19:19Z
publishDate 2016
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-611112018-04-23T07:58:27Z Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates Chen, F. Yin, YanYan Liu, F. This paper focuses on delay-dependent robust fault detection (RFD) problem for continuous-time Markovian jump systems (MJSs) with partly unknown transition rates and time-varying delay. Free-connection weighting matrices are firstly addressed to robust fault detection filter design, which reduce the conservatism caused by fixed-connection weighting matrices. By considering Lyapunov stability theory, new delay-dependent stochastic stability criteria are eatablished in terms of linear matrix inequalities (LMIs). Based on this, sufficient conditions are given and proved to guarantee the existence of the robust fault detection filter system. Furthermore, an optimization design approach is derived with an improved cone complementarity linearization algorithm. Finally, a simulation example is given to show that the designed robust fault detection filter can detect the faults sensitively, and also respond robustly to unknown disturbances. 2016 Journal Article http://hdl.handle.net/20.500.11937/61111 10.1016/j.jfranklin.2015.12.001 Elsevier restricted
spellingShingle Chen, F.
Yin, YanYan
Liu, F.
Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title_full Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title_fullStr Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title_full_unstemmed Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title_short Delay-dependent robust fault detection for Markovian jump systems with partly unknown transition rates
title_sort delay-dependent robust fault detection for markovian jump systems with partly unknown transition rates
url http://hdl.handle.net/20.500.11937/61111