Cloud-assisted quarter-vehicle suspension system safety control

In order to realize the intelligent control of suspension system, the event-triggered security control problem of cloud-assisted quarter-vehicle suspension system under false data injection (FDI) attack is studied. Considering the problems of transmission delay and network bandwidth limitation, combining with the idea of mean value filtering, making full use of the system state information, designing a novel event triggering mechanism (ETM) so as to enhance the utilization of system resources, and adopting the cloud control method to reduce the control cost of the suspension system; characterizing the stochastic nature of the occurrence of cyber-attacks through Bernoulli variables, establishing a joint vehicle suspension system that simultaneously contains the ETM and cyber-attacks Based on this model, an event-triggered security control strategy with H∞ control performance is derived. The experimental results show that the proposed control strategy can effectively utilize the communication resources, resist the influence of network attacks on the system, and improve the stability of the vehicle.