Interval observer-based supervision of nonlinear networked control systems

Afef Najjar (1) , Thach Ngoc Dinh (2) , Messaoud Amairi (1) , Tarek Raissi (2)

1 ENIG - Ecole Nationale d'Ingénieurs de Gabès
2 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques

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.

Keywords: Nonlinear networked control systems; remote supervision; uncertain large time-varying delay; interval estimation; input-to-state stability; predictor

Domains: Engineering Sciences [physics]; Automatic

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, 2022, ⟨10.3906/elk-2106-136⟩. ⟨hal-03639264⟩