Attack Resilient Fault Tolerant Control for T–S Fuzzy Cyber-Physical Systems

In this article, a novel secure fault-tolerant control (FTC) strategy is proposed to deal with the impact of multiple threats such as sparse sensor attacks, system faults, and unknown disturbances on T–S fuzzy cyber-physical systems (CPSs). First, under the assumption of 2
s
-detectability, a set of robust local unknown input observers is designed. Specifically, each observer can decouple partial disturbances and perform targeted suppression on undecoupling disturbances simultaneously. Next, the residual-based attack detection strategy and secure global estimation fusion mechanism are developed, leading to the estimation of the state and concerned fault with smaller estimation error. Ulteriorly, a secure fault tolerant controller is proposed to ensure that the system can recover satisfactory performance in time subjected to multiple threats. Finally, the proposed secure FTC method is applied to the control scenario of autonomous vehicles in the network environment, which proves the effectiveness of the developed technology.