This paper is focused on the event-triggered fuzzy sliding-mode control of networked control systems regulated by semi-Markov process. First, through movement-decomposition method, the networked control system is transformed into two lower-order subsystems. Then, an event-triggered scheme based on a delay system model approach is proposed in designing the switching surface and obtaining the sliding mode dynamics. Furthermore, a fuzzy sliding-mode controller is developed to realize reachability of a predefined switching surface and desirable sliding motion. Moreover, in terms of linear matrix inequality method, sufficient conditions for stochastic stability of the obtained sliding mode dynamics is developed in the sense of generally uncertain transition rates. Finally, the applicability of the proposed results are verified numerically on the single-link robot arm system.

中文翻译：

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基于Takagi__ugeno模型的半马尔可夫切换网络控制系统的事件触发模糊滑模控制


本文主要研究半马尔可夫过程调节的网络控制系统的事件触发模糊滑模控制。首先，通过运动分解方法，将网络控制系统转化为两个低阶子系统。然后，在设计切换表面和获得滑模动力学时，提出了一种基于延迟系统模型方法的事件触发方案。此外，还开发了模糊滑模控制器来实现预定义切换表面的可达性和所需的滑动运动。此外，就线性矩阵不等式方法而言，在一般不确定的转变率的意义上，建立了所获得的滑模动力学随机稳定性的充分条件。最后，在单连杆机器人手臂系统上数值验证了所提结果的适用性。