Adaptive prescribed performance tracking control for a class of nonlinear systems with actuator faults via a quantized event-triggered control scheme

This paper focuses on the issue of adaptive quantized event-triggered prescribed performance control for a class of uncertain nonlinear systems subject to actuator faults from a new point of view. First, a so-called preassigned finite-time performance function (PFTPF) is embedded to the developed nonlinear system. Then, by applying the PFTPF and embedding this designed barrier function, a barrier Lyapunov function is given for the adaptive controller deign. Subsequently, by coming up with a nonlinear decomposition of quantization, two quantized event-triggered control laws are depicted, which can reduce the communication burden from the controller to the actuator. It is proved that the designed control protocol guarantees that not only all the signals of the closed-loop system are bounded, but also the constrained error variables tend to the corresponding specified regions in finite time. Finally, simulation results are carried out to address the effectiveness of the proposed method.