Resilient Design of Networked Security Control for Active Suspension Systems via an Augmented Switching-Type Approach
Yu Shan, Xiangpeng Xie, Jiayue Sun, Ju H. Park
Abstract
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.