This paper considers the adaptive event-triggered \(H_{\infty }\) control issue for Markov jump systems with generally uncertain transition rates and actuator faults. Compared with the conventional method, an adaptive event-triggered mechanism with a varying threshold is adopted to save the communication resources effectively. The general model of transition rates in Markov jump process includes completely unknown and uncertain bounded as two special models. Based on linear matrix inequalities, the sufficient conditions of the controller design can be obtained to guarantee the closed-loop systems are stochastically stable. Finally, simulation examples are exploited to verify the effectiveness of the proposed control strategy.

本文考虑了具有通常不确定的转移率和执行器故障的马尔可夫跳跃系统的自适应事件触发\（H _ {\ infty} \）控制问题。与传统方法相比，采用阈值变化的自适应事件触发机制可以有效地节省通信资源。马尔可夫跳跃过程中跃迁速率的一般模型包括完全未知和不确定边界作为两个特殊模型。基于线性矩阵不等式，可以获得控制器设计的充分条件，以确保闭环系统是随机稳定的。最后，通过仿真实例验证了所提出控制策略的有效性。