Abstract
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
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