Event-triggered sliding mode control for networked T–S fuzzy delayed systems against random injection attacks

• Published in: Journal of the Franklin Institute Vol. 361; no. 18; p. 107333
• Main Authors: Liu, Hao, Hu, Jun, Zhang, Hongxu, Zuo, Zhiyuan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2024
• Subjects: Event-triggered mechanism; Exponential ultimate boundedness; Random injection attacks; Sliding mode control; T–S fuzzy delayed systems; Random injection attacks; T–S fuzzy delayed systems; Event-triggered mechanism; Exponential ultimate boundedness; Sliding mode control
• ISSN: 0016-0032
• DOI: 10.1016/j.jfranklin.2024.107333

This paper investigates the event-triggered sliding mode control (SMC) problem for networked T–S fuzzy delayed systems subject to random injection attacks, where the event-triggered mechanism (ETM) is introduced to alleviate data congestion and improve network efficiency. Under an open network environment, malicious attackers may randomly inject false information into the controller–actuator channel to compromise the integrity of the data. A new fuzzy sliding mode controller is constructed based on a non-parallel distributed compensation strategy, which introduces the distribution information of the attack probability. Then, the membership function dependent (MFD) analysis technique is adopted to reconstruct the membership functions in order to reduce the conservatism caused by the mismatch between the membership functions of fuzzy model and controller. Furthermore, the co-design conditions for the ETM and the fuzzy sliding mode controller are provided, which can ensure that the resulting closed-loop fuzzy system is mean-square exponentially ultimately bounded (EUB) and the sliding surface is reachable. Finally, a simulation experiment with tunnel diode circuit application is utilized to demonstrate the validity of the proposed SMC scheme. •A common sliding function is designed to facilitate subsequent analysis.•The mismatch problem of membership functions caused by asynchronous premise variables is discussed.•A new asynchronous fuzzy SMC law is constructed to ensure satisfactory performance.