Publications

@article{Chabir2018473,

title = {State Filtering for Networked Control Systems Subject to Switching Disturbances},

author = {K. Chabir and T. Rhouma and J. Y. Keller and D. Sauter},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054826707\&doi=10.2478%2famcs-2018-0036\&partnerID=40\&md5=de078e86eca3164b09cbd451749f9280},

doi = {10.2478/amcs-2018-0036},

issn = {1641876X},

year  = {2018},

date = {2018-01-01},

journal = {International Journal of Applied Mathematics and Computer Science},

volume = {28},

number = {3},

pages = {473-482},

publisher = {Sciendo},

abstract = {State estimation of stochastic discrete-time linear systems subject to unknown inputs has been widely studied, but few works take into account disturbances switching between unknown inputs and constant biases. We show that such disturbances affect a networked control system subject to deception attacks on the control signals transmitted by the controller to the plant via unreliable networks. This paper proposes to estimate the switching disturbance from an augmented state version of the intermittent unknown input Kalman filter. The sufficient stochastic stability conditions of the obtained filter are established when the arrival binary sequence of data losses follows a Bernoulli random process. © 2018 Karim Chabir, published by Sciendo.},

note = {cited By 11},

keywords = {Bernoulli; Constant bias; Control signal; Discrete time linear systems; State filtering; Stochastic stability; Unknown inputs; Unreliable network, Binary sequences; Covariance matrix; Kalman filters; Linear systems; Random processes; State estimation; Stochastic systems; Switching, Networked control systems},

pubstate = {published},

tppubtype = {article}

}