A Novel Dynamic Event-Triggered Dissipative Filtering for T–S Fuzzy Systems with Asynchronous Constraints

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.