This paper investigates the problem of dynamic event-triggered dissipative filtering for T–S fuzzy systems. First, a novel dynamic event-triggered mechanism (DETM) is proposed to save communication resources, and it is equipped with two dynamic trigger thresholds. One of the thresholds is a state-dependent time-varying threshold, which is adjusted to the output error. The other is an additional dynamic auxiliary variable, which is described by a differential equation. The DETM makes communication data be transmitted periodically to reduce computation and communication resources. Second, based on the proposed DETM, a new event-triggered reliable dissipative filter is designed to subject to the asynchronous constraint of the membership function. By constructing the Lyapunov function, sufficient conditions are developed to ensure asymptotic stability and strict dissipativity of the filtering error system. Finally, the given simulation example shows the effectiveness of the proposed method.

本文研究了 T-S 模糊系统的动态事件触发耗散滤波问题。首先，提出了一种新颖的动态事件触发机制（DETM）来节省通信资源，并配备了两个动态触发阈值。阈值之一是状态相关的时变阈值，其根据输出误差进行调整。另一个是附加动态辅助变量，由微分方程描述。 DETM使通信数据周期性地传输，以减少计算和通信资源。其次，基于所提出的DETM，设计了一种新的事件触发的可靠耗散滤波器，以服从隶属函数的异步约束。通过构造李亚普诺夫函数，建立了保证滤波误差系统渐近稳定性和严格耗散性的充分条件。最后，给出的仿真例子表明了所提方法的有效性。