Event-triggered dynamic surface control for nonlinear system with constraints

This paper studies the tracking issue of a nonlinear system with actuator faults and constraints. A new adaptive fuzzy control strategy based on an event-triggered mechanism is designed. First, the fuzzy logic system (FLS) is applied as an estimator to deal with unknown nonlinear functions. Then, in order to guarantee that the system states are within the limits of the constraints, the integral barrier Lyapunov function (IBLF) is employed, which ensures the tracking error can converge to zero in backstepping analysis simultaneously. Besides, a sliding mode differentiator, which uses the dynamic surface control technique, is constructed for solving complex computational issues. Furthermore, in order to save communication consumption, a new event-triggered tracking strategy is presented. Finally, the simulation results confirm that the proposed method is viable.