Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes

The problem of robust fault detection (RFD) is studied for a class of discrete-time stochastic systems with non-homogeneous jump processes. First, a filter-based residual signal generator is constructed. To guarantee the sensitivity to faults and robustness against unknown inputs, both H∞ performanc...

Full description

Bibliographic Details
Main Authors: Yin, Y., Shi, P., Liu, F., Teo, Kok Lay
Format: Journal Article
Published: The Institution of Engineering and Technology 2014
Online Access:http://hdl.handle.net/20.500.11937/10169
_version_ 1848746157977632768
author Yin, Y.
Shi, P.
Liu, F.
Teo, Kok Lay
author_facet Yin, Y.
Shi, P.
Liu, F.
Teo, Kok Lay
author_sort Yin, Y.
building Curtin Institutional Repository
collection Online Access
description The problem of robust fault detection (RFD) is studied for a class of discrete-time stochastic systems with non-homogeneous jump processes. First, a filter-based residual signal generator is constructed. To guarantee the sensitivity to faults and robustness against unknown inputs, both H∞ performance and a new performance index are considered. Then an FD filter, which minimises the influences of the disturbances, modelling uncertainties and increases the sensitivity to faults, is designed. A sufficient condition for ensuring the existence of RFD filter in terms of linear-matrix inequalities is established. A simulation is carried out, illustrating that the proposed RFD filter can detect the faults after their occurrences in a timely manner.
first_indexed 2025-11-14T06:28:48Z
format Journal Article
id curtin-20.500.11937-10169
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:28:48Z
publishDate 2014
publisher The Institution of Engineering and Technology
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-101692017-09-13T14:49:27Z Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes Yin, Y. Shi, P. Liu, F. Teo, Kok Lay The problem of robust fault detection (RFD) is studied for a class of discrete-time stochastic systems with non-homogeneous jump processes. First, a filter-based residual signal generator is constructed. To guarantee the sensitivity to faults and robustness against unknown inputs, both H∞ performance and a new performance index are considered. Then an FD filter, which minimises the influences of the disturbances, modelling uncertainties and increases the sensitivity to faults, is designed. A sufficient condition for ensuring the existence of RFD filter in terms of linear-matrix inequalities is established. A simulation is carried out, illustrating that the proposed RFD filter can detect the faults after their occurrences in a timely manner. 2014 Journal Article http://hdl.handle.net/20.500.11937/10169 10.1049/iet-cta.2013.0315 The Institution of Engineering and Technology restricted
spellingShingle Yin, Y.
Shi, P.
Liu, F.
Teo, Kok Lay
Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title_full Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title_fullStr Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title_full_unstemmed Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title_short Robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
title_sort robust fault detection for discrete-time stochastic systems with non-homogeneous jump processes
url http://hdl.handle.net/20.500.11937/10169