Multigain-Switching-Mechanism-Based Security Scheduling Scheme for Active Vehicle Suspension Systems Against DoS and Covert Attacks

This article is dedicated to studying the multigain security scheduling of active vehicle suspension systems (AVSSs) under cyber–physical architecture when subjected to intermittent denial of service (DoS) and covert attacks. First, to effectively handle the nonlinear and uncertain problems of the system, a fuzzy suspension model is established based on Takagi-Sugeno (T-S) fuzzy rules. Then, considering the complex network attack scenarios of intermittent DoS attacks on control signals and covert attacks on control and output signals, a novel multigain switching mechanism (MSM)-based security scheduling scheme is proposed. This scheme adopts the homogeneous polynomial method and multimode fuzzy switching strategy, which greatly expands the feasible stable region while reducing the negative impact of malicious attacks. Furthermore, utilizing some technical lemmas and time-varying Lyapunov functions dependent on attack parameters, the exponential <?show $132#=""?>stability criterion of the multigain switching system under complex network attacks is derived. Meanwhile, some time-varying balance matrices suitable for various switching modes in system dynamics are proposed to achieve low conservatism and high flexibility in controller design methods. Finally, the performance of the proposed scheme was evaluated in numerical simulations and hardware in the loop experiments.