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This article studies the event-triggered adaptive fuzzy output feedback fault-tolerant control problem for nonaffine uncertain systems with output tracking errors constraints and actuator faults. First, the mean value theorem and input compensation method are used to decouple the control input signal, and an adaptive state observer is established to estimate unknown state. Then, in the presence of disturbances and actuator faults, an improved event-triggered adaptive fault-tolerant control strategy is designed to adjust control input signals, which effectively reduce the computing burden in communication, and the input-to-state stability assumption is not required. Furthermore, it is proved by Lyapunov stability analyses that the proposed control method guarantees output tracking errors can converge to the prescribed performance bounds and all signals are uniformly ultimately bounded. Finally, the validity of the control algorithm is verified through the simulation results.
Wu et al. (Thu,) studied this question.