Publications

@conference{Al-Salami2010446,

title = {Adaptive thresholding for fault detection in networked control systems},

author = {I. M. Al-Salami and K. Chabir and D. Sauter and C. Aubrun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649393168\&doi=10.1109%2fCCA.2010.5611154\&partnerID=40\&md5=5e2cd3d5dd51065a320f487f399ef1b1},

doi = {10.1109/CCA.2010.5611154},

isbn = {9781424453627},

year  = {2010},

date = {2010-01-01},

journal = {Proceedings of the IEEE International Conference on Control Applications},

pages = {446-451},

abstract = {This paper studies the problem of fault detection in networked control systems. In the residual generation, the effect of the networked induced bounded delays as well as the noise is reduced. The minimization of false alarm rate caused from unknown inputs as well as the variation of control inputs is achieved in the residual evaluation stage. This includes the design of an adaptive threshold. An illustrating example is given to show the efficiency of the obtained results. © 2010 IEEE.},

note = {cited By 4},

keywords = {Adaptive control systems, Adaptive thresholding; Adaptive thresholds; Control inputs; False alarm rate; Networked control systems; Residual generation; Unknown inputs, Control system analysis; Fault detection},

pubstate = {published},

tppubtype = {conference}

}