Fuzzy Weighted Memory Event-Triggered Control for Networked Control Systems Subject to Deception Attacks - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

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

(1) , (1) , (2) , (1) , (2)
1
2

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.
Fichier principal
Vignette du fichier
IFAC_PapersOnLine2022_45-50.pdf (703.62 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

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

Licence

Attribution - NonCommercial - NoDerivatives - CC BY 4.0

Identifiers

Cite

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⟩
22 View
16 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More