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AuthorGolabi A.
AuthorDavoodi M.
AuthorMeskin N.
AuthorMohammadpour J.
Available date2020-02-24T08:57:11Z
Publication Date2018
Publication NameInternational Journal of Adaptive Control and Signal Processing
ResourceScopus
ISSN8906327
URIhttp://dx.doi.org/10.1002/acs.2932
URIhttp://hdl.handle.net/10576/12959
AbstractThis paper investigates a new event-triggered fault detection methodology for discrete-time dynamic systems characterized by linear parameter-varying models. An event-based linear parameter-varying observer is presented as the fault detection module to generate the residual signal. Moreover, two event-triggering conditions are proposed to transmit the sensor and scheduling variable data to the fault detection module only when required. A mixed H−/H∞ formulation of the problem is presented to attenuate the effect of disturbances and the control input on the residual signal, and at the same time to maximize the residual signal sensitivity to fault. A set of linear matrix inequality conditions are obtained to find the solution of the proposed problem based on the concept of the input-to-state stability. The proposed methodology is experimentally tested and validated on a laboratory two-tank system
SponsorThis publication was supported in part by NPRP grant NPRP 5-574-2-233 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherJohn Wiley and Sons Ltd
Subjectevent-triggered framework
fault detection
linear matrix inequality (LMI)
linear parameter-varying (LPV) systems
two-tank system
TitleEvent-triggered fault detection for discrete-time LPV systems with application to a laboratory tank system
TypeArticle
Pagination1591 - 1606
Issue Number11
Volume Number32
dc.accessType Abstract Only


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