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Interval observer-based supervision of nonlinear networked control systems

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.
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https://hal-cnam.archives-ouvertes.fr/hal-03715512
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Submitted on : Wednesday, July 6, 2022 - 2:49:24 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM

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Afef Najjar, Thach Ngoc Dinh, Messaoud Amairi, Tarek Raissi. Interval observer-based supervision of nonlinear networked control systems. Turkish Journal of Electrical Engineering and Computer Sciences, Scientific and Technical Research Council of Turkey, 2022, 30 (4), pp.1219 - 1234. ⟨10.55730/1300-0632.3845⟩. ⟨hal-03715512⟩

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