Memory-based dynamic event-triggered secure control of active suspension systems against deception attacks

This study deals with the issue of a memory-based dynamic event-triggered control strategy for active quarter-vehicle suspension systems (QVSSs). The main objective is to design an effective event-triggered mechanism (ETM) that ensures suspension performance while reducing network resource usage, even under deception attacks. To this end, an innovative memory-based dynamic ETM is proposed to coordinate sensor data transmission efficiently in the presence of such attacks. The proposed transmission scheme integrates historical release information, which helps suppress false triggering by utilizing averaged data. Additionally, the proposed ETM dynamically updates triggering conditions over time, facilitating dynamic scheduling of network data transmission. Sufficient conditions are derived to guarantee satisfactory performance of the QVSS under the proposed control strategy. A numerical example is provided to validate the effectiveness of the approach.