Adaptive fuzzy finite-time fault-tolerant control design for nonlinear pure-feedback systems with sensor faults

This article investigates an adaptive fuzzy finite-time fault-tolerant control (FTC) scheme for nonlinear pure-feedback systems (PFSs) with sensor faults. The pure-feedback system in this article includes time-varying fault factors and unknown nonlinear functions. Choose the time-varying fault separation method to keep the fault parameters away from the actual state to avoid coupling problems. Using the mean-value theorem (MVT) to handle the non-affine functions in the system and effectively decouple the control input signals. The approximation capability of the fuzzy logic systems (FLSs) is utilized to handle the unknown functions in the system and combined with the backstepping techniques for the construction of the adaptive fault-tolerant controller. Using Lyapunov theory to verify the stability of closed-loop system. Finally, choose two simulation examples verified the validity of the control strategy.