Publications

@article{Chabir2010343,

title = {Robust fault diagnosis of networked control systems via Kalman filtering},

author = {K. Chabir and D. Sauter and M. N. Abdelkrim and M. K. B. Gayed},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651568923\&doi=10.1504%2fIJAAC.2010.033518\&partnerID=40\&md5=a53358abdd9609edaf651534f795e971},

doi = {10.1504/IJAAC.2010.033518},

issn = {17407516},

year  = {2010},

date = {2010-01-01},

journal = {International Journal of Automation and Control},

volume = {4},

number = {3},

pages = {343-356},

publisher = {Inderscience Publishers},

abstract = {The fault detection problem of a class of linear networked control systems (NCS) with communication delays will be studied in this paper. The aim of the study is to generate residual signals which, in the fault free case, are supposed to be identically zero. In practice, this condition is not satisfactory due to various factors such as measurements noise, model uncertainties, and more specifically the NCS communication induced delays. The effect of unknown networked induced delays on conventional observed residue generator is also studied in this paper. It is shown that the detection performances may be deteriorated because of the sensitivity of the residuals to the delays. The proposed approach is based on robust residual generation based on Kalman filtering. © 2010 Inderscience Enterprises Ltd.},

note = {cited By 9},

keywords = {Communication delays; Delays; Detection performance; Fault detection problem; Kalman-filtering; Networked-induced delays; Residual; Robust fault diagnosis, Failure analysis; Kalman filters; Networked control systems; Uncertainty analysis, Fault detection},

pubstate = {published},

tppubtype = {article}

}