Resilient Design of Networked Security Control for Active Suspension Systems via an Augmented Switching-Type Approach

This article is concerned with the resilient security control problem of nonlinear active quarter vehicle suspension systems (AQVSSs) under random activation denial-of-service attacks. First, Takagi–Sugeno fuzzy technology is employed to handle with the uncertainty of AQVSSs, and a networked fuzzy controlled active suspension model is established. Second, in order to reduce the conservatism of the controller designed by the one-order free-weighting matrix in the previous research, a high-order multimode switching free-weighting matrix (HMSFM) mechanism is proposed to establish a series of free-weighting matrix groups under various switching modes. Then, some time-varying balance matrices are proposed to cooperate with the HMSFM mechanism to mine proprietary features about each switching mode. At the same time, a homogeneous polynomial parameter-dependent Lyapunov function is designed to derive the exponential stability condition of the system under network attacks. Eventually, the progressiveness of the proposed control scheme is verified by the hardware-in-loop test.