Adaptive fixed-time control for nonlinear systems against time-varying actuator faults

The adaptive fixed-time control problem for nonlinear systems with time-varying actuator faults is investigated in this paper. A novel controller designed via combining the Lyapunov stability theory backstepping method. It can be adapted to both system uncertainties and unknown faults. Compared existing fault-tolerant schemes subject faults, neural networks scheme make sure that tracking error convergent a small neighborhood of origin within interval, it does not depend on original states In light proposed paper, closed-loop guaranteed by theoretical analysis, numerical example provided verify effectiveness obtained results.