Fuzzy Event-Triggered Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems

This paper devotes to investigating the issue of the fuzzy adaptive event-triggered fault-tolerant control for multi-input and single-output (MISO) nonlinear systems with actuator failures and external disturbances. Based on the backstepping technique and fuzzy logic system (FLS), the fault-tolerant controller and the corresponding adaptive update laws are designed to eliminate the effect of actuator fault. At the same time, the event-triggered mechanism is introduced to reduce the computational load of the control input. The stability analysis shows that the control scheme has great tracking performance ensures the stability of the system. The simulation results further verify the validity of the above theoretical.