Observer-Based Security Control for Nonlinear Suspension Systems With Cyber-Attacks and Hybrid-Triggered Scheme

This article investigates the hybrid event-triggered attack estimation and attack-tolerant control problem for nonlinear active suspensions under cyber-attacks. First, an interval type-2 fuzzy model is used to capture the dynamic nonlinearities and parameter uncertainties of the active suspension system. Then, an attack diagnosis observer is constructed to estimate the states of the suspension system and cyber-attacks based on a time-event hybrid triggered scheme. Furthermore, a codesign control strategy of the hybrid trigger and the attack-tolerant controller is proposed to compensate the impact of the cyber-attacks to the system, so as to maintain a favorable performance of the suspension system and reduce the pressure of limited bandwidth. Finally, the effectiveness of the proposed method is verified by experimental results via a quarter-car test rig in comparison with current works.