Event-based secure control of T-S fuzzy based 5-DOF active semi-vehicle suspension systems subject to DoS attacks

This paper investigates the problem of resilient secure control of cloud-aided 5-DOF active semi-vehicle suspension systems (SVSSs). A novel joint model considering both the event-triggered mechanism (ETM) and DoS attacks is established. Under such a model, during the active period of DoS attacks, periodic transmission attempt is made to ensure the control system can receive the control information at the earliest time; the ETM turns to be a conventional one when the DoS attack is in sleeping period. Meanwhile, the valid attack period is proposed to address the problem of the DoS attack ending within a sampling period, which is a challenging problem in modeling DoS attacks. Takagi-Sugeno (T--S) fuzzy model is used to characterize the uncertainties of sprung and unsprung mass of SVSSs. By converting the cloud-aided active SVSS into a fuzzy-based switched time-delay system, and using the method of piecewise Lyapunov function, sufficient conditions are derived to ensure the performances of active SVSSs subject to DoS attacks. Finally, the effectiveness of the proposed method is validated by a numerical example of active SVSSs subject to DoS attacks.