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Communication Dans Un Congrès Année : 2022

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

Résumé

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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Dates et versions

hal-03756745 , version 1 (22-08-2022)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

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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