Sensor networks with distributed event-triggered scheme for T–S fuzzy system with dissipativity analysis

Abstract

In this article, the problem of distributed extended dissipativity consensus filtering over the mobile sensor environment in which each sensor communicates through an event is investigated. We address the fuzzy filtering problem through a unified approach that considers H∞, L2−L∞ and dissipative performance constraints. The event-triggering scheme is determined by event-based data processors (EDPs), which determine whether the sampled–data needs to be transmitted. A filter built on event data is applied at each node based on the collected samples from a sensor and its neighbors. By transforming it into an error system with an interval time-varying delay, the distributed event-triggered dissipative consensus filtering problem is solved. A new fuzzy Lyapunov–Krasovskii approach is derived to solve the filtering problem in the form of Linear Matrix Inequality (LMIs). Finally, using an engineering example, a unified algorithm for co-designed filter gains as well as for threshold parameters at the event condition is presented.