Publications

@conference{Rhouma2019219,

title = {State filtering with intermittent unknown input and retransmission delay},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075632832\&doi=10.1109%2fSSD.2019.8893284\&partnerID=40\&md5=18774b1a8900516332fdfe6dd65994de},

doi = {10.1109/SSD.2019.8893284},

isbn = {9781728118208},

year  = {2019},

date = {2019-01-01},

journal = {16th International Multi-Conference on Systems, Signals and Devices, SSD 2019},

pages = {219-224},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {When input information of a physical plant is transmitted to the remote state estimator via unreliable networks, this paper proposes a resilient Kalman filter able to recover the unbiased minimum variance state prediction after a minimum number of successive correct receptions. This goal is reached by encoding input information so that the decoded state model of the plant satisfies a generalized form of output-separability conditions originally used to solve a multiple faults detection and isolation problem. © 2019 IEEE.},

note = {cited By 0},

keywords = {Cryptography; Networked control systems; Packet loss, Kalman filters, Minimum variance; Multiple faults; Physical plants; Retransmissions; State filtering; State modeling; State prediction; Unreliable network},

pubstate = {published},

tppubtype = {conference}

}