Finite-Time Event-Triggered Adaptive Fault-Tolerant Tracking for Semi- Bounded Non-Affine Systems

In this paper, the issue of finite-time fault-tolerant tracking control via event-triggered strategy is investigated for a general class of non-affine systems with a semi-bounded structure. The differentiable condition imposed on the non-affine terms is removed. A new model transformation method is used to transform the non-affine system into a pseudo-affine one, which generates an uncertain model with the undesired overflowed variables. We utilize the neural networks to approximate the uncertain functions and separate the overflowed variables to guarantee the solvability of virtual controllers in the iterative design. In addition, the tracking error is limited to a specified range within a finite time by the introduced prescribed performance. By considering the actuator fault and the limited communication resources, an event-triggered fault-tolerant control scheme is proposed, which not only ensures finite-time tracking, but also avoids the Zeno behavior and reduces the waste of communication resources. Finally, the proposed method is used for the microgrid systems.