Fault detection for hybrid-triggered networked systems subject to delay and deception attacks

• Published in: Journal of the Franklin Institute Vol. 362; no. 8; p. 107682
• Main Authors: Dai, Shifang, Hai, Lin, Liu, Jinliang, Tian, Engang
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15.05.2025
• Subjects: Deception attacks; Fault detection; Networked system; The hybrid-triggered scheme; Networked system; Fault detection; The hybrid-triggered scheme; Deception attacks
• ISSN: 0016-0032
• DOI: 10.1016/j.jfranklin.2025.107682

This article investigates the fault detection problem for hybrid-triggered networked systems subject to delay and deception attacks. A hybrid-triggered scheme is exploited to balance network bandwidth and system performance. Firstly, the fault detection framework is constructed and modeled in the hybrid-triggered networked system, in which a plant system with faults occurring randomly and a fault detection filter (FDF) system are formulated. Based on the framework, the sufficient conditions for our FDF system to achieve H∞ performance stability are proved by Lyapunov stability theory and described by several matrix inequalities. Meanwhile, the desired matrices of our FDF are also determined by solving a set of linear matrix inequalities (LMIs), which is the primary purpose of this work. In the end, the usefulness of our scheme is validated by simulations.