Event-Triggered Adaptive Control for a Class of Nonlinear Systems With Unknown Control Direction and Sensor Faults

In this note, a novel event-triggered adaptive control scheme is proposed for a class of nonlinear systems with unknown control direction and unknown sensor faults. The effects of the network-induced error and sensor faults are compressed by introducing some auxiliary filters and a bound estimation approach. Additionally, by introducing some differentiable auxiliary functions and high-order Lyapunov functions, we successfully circumvent the obstacle caused by unknown control direction and completely avoid Zeno phenomenon. The proposed scheme is able to ensure that all closed-loop signals are globally uniformly bounded and the tracking error converges to a residual set. Simulation results are presented to illustrate the effectiveness of the proposed scheme.