Adaptive Fuzzy Fault-Tolerant Fixed-Time Control for Nonlinear Systems with Full-State Constraints

This article investigates the adaptive fault-tolerant fixed-time control (FTFTC) for nonlinear systems with full-state constraints. The barrier Lyapunov functions (BLFs) are introduced into adaptive control to guarantee that all state constraints are not violated. The adaptive fault-tolerant fixed-time controller and adaptive laws are constructed by combining backstepping technique and fuzzy logic systems (FLSs) to compensate the influence of actuator faults. The proposed control strategy can ensure that the tracking error converges to a neighborhood near zero at a fixed time. Finally, the developed simulation results show the effectiveness of the proposed control tactic.