Resilient control design of networked vehicle suspension system under False Data Injection Attacks

Under covert false data injection (FDI) attacks, the robust security control problem of nonlinear active vehicle suspension systems (AVSSs) is examined in this paper. First, the network fuzzy control active suspension model is developed, and the Takagi-Sugeno (T-S) fuzzy technology is applied to address the uncertainty of AVSSs. Secondly, considering the influence of the FDI attack model, a resilient controller is designed for AVSSs. The exponential stability condition of the system under the network assault is then derived concurrently with the design of the Lyapunov function associated with the membership degree. Lastly, a simulation test confirms the developed controller's efficacy.