Publications

@article{Najjar20221219,

title = {Interval observer-based supervision of nonlinear networked control systems},

author = {A. Najjar and T. N. Dinh and M. Amairi and T. Raissi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132216367\&doi=10.55730%2f1300-0632.3845\&partnerID=40\&md5=4da1a86b7492884e31c5ae1c1542d38f},

doi = {10.55730/1300-0632.3845},

issn = {13000632},

year  = {2022},

date = {2022-01-01},

journal = {Turkish Journal of Electrical Engineering and Computer Sciences},

volume = {30},

number = {4},

pages = {1219-1234},

publisher = {Turkiye Klinikleri},

abstract = {Networked control system (NCS) is a multidisciplinary area that attracts increasing attention today. In this paper, we deal with remote supervision of a nonlinear networked control systems class subject to network imperfections. Different from many existing researches that consider only the problem of small and/or constant communication delays, we focus on large and time-varying network delays problem in both measurement and control channels. The proposed method is a set-membership estimation-based predictor approach computing a guaranteed set of admissible state values when the uncertainties (i.e. measurement noises and system disturbances) are considered unknown but bounded with a priori known bounds. The state prediction strategy is used to compensate the effect of transmission delays. Finally, the theoretical results are validated through a numerical example. © 2022 Turkiye Klinikleri. All rights reserved.},

note = {cited By 1},

keywords = {Input-to-state stability; Interval estimation; Interval observers; Nonlinear networked control system; Observer-based; Predictor; Remote supervision; Systems' class; Time-varying delay; Uncertain large time-varying delay, Networked control systems, Nonlinear analysis; Time delay; Time varying control systems; Time varying networks; Uncertainty analysis},

pubstate = {published},

tppubtype = {article}

}