In this paper, the problem of event-triggered-based sliding mode control for a class of continuous-time system with actuator failures and signal quantization via output feedback is investigated. The classical dynamic uniform quantization strategy is employed for data quantization in both sensor-controller side and controller-actuator side. A new event-triggered adaptive dynamic output feedback sliding mode control scheme is proposed to stabilize the fault closed-loop systems, where the event-triggered condition is established based on quantized augmented state vector that includes output measurement vector and dynamic compensator state vector. Sufficient conditions for the existence of controller gain matrices are formulated in terms of linear matrix inequalities (LMIs). The reachability of the proposed sliding surface can be ensured by the designed control scheme. Moreover, the existence of the minimal inter–event time and sufficient conditions under which the zeno behavior can be avoided is analyzed and presented. Finally, an example is provided to demonstrate the effectiveness of the proposed new design techniques

本文研究了一类具有执行器故障和通过输出反馈进行信号量化的连续时间系统的基于事件触发的滑模控制问题。经典的动态均匀量化策略被用于传感器-控制器侧和控制器-执行器侧的数据量化。提出了一种新的事件触发自适应动态输出反馈滑模控制方案，以稳定故障闭环系统。在该系统中，基于包括输出测量向量和动态补偿器状态向量的量化增强状态向量建立了事件触发条件。根据线性矩阵不等式（LMI），为控制器增益矩阵的存在提供了充分的条件。通过设计的控制方案可以确保建议的滑动表面的可达性。此外，分析并介绍了最小的事件间时间和可以避免zeno行为的充分条件。最后，提供一个示例来证明所提出的新设计技术的有效性