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Fuzzy Weighted Memory Event-Triggered Control for Networked Control Systems Subject to Deception Attacks

Abstract : This paper considers the event-triggered control problem for a class of Networked Control Systems (NCS) subject to transmission delays and stochastic deception attacks. A new fuzzy weighted memory event-triggered mechanism is proposed to reduce the network bandwidth consumption and data transmission rates. In this context, a new fuzzy weighted memory state feedback controller is proposed to stabilize the closed-loop NCS. Considering the security problem of NCS, a randomly occurring deception attack model is employed, assuming bounded malicious signals injected by the attacker. Based on a suitable Lyapunov-Krasovskii functional, a design methodology is proposed, in terms of linear matrix inequalities, to synthesize both trigger parameters and NCS controller gains. Finally, a numerical example is considered to illustrated the effectiveness of proposed results, compared to previous ones from the literature.
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https://hal.univ-reims.fr/hal-03756745
Contributor : Kevin Guelton Connect in order to contact the contributor
Submitted on : Monday, August 22, 2022 - 1:27:42 PM
Last modification on : Monday, August 29, 2022 - 4:13:41 PM

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Mohamed Rouamel, Fayçal Bourahala, Kevin Guelton, Samir Bouzoualegh, Laurent Arcese. Fuzzy Weighted Memory Event-Triggered Control for Networked Control Systems Subject to Deception Attacks. IFAC Conference on Intelligent Control and Automation Sciences (ICONS), 2022, Cluj-Napoca, Romania. pp.45-50, ⟨10.1016/j.ifacol.2022.07.606⟩. ⟨hal-03756745⟩

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