Distributed event-triggered H∞ state estimation for T-S fuzzy systems over filtering networks

This paper is concerned with the problem of distributed event-triggered H∞ filtering over sensor networks for a class of discrete-time nonlinear system modeled by a set of linear Takagi-Sugeno(T-S) fuzzy models. In the filtering network, every individual filter receives the measurement information from the nonlinear plant, meanwhile, each filter can exchange the information with the other filters. Event-triggered communication scheme is applied to determine whether or not the current instant information should be transmitted to the quantizer. Distributed fuzzy filters are designed to guarantee the H∞ disturbance attenuation level for the error estimation of the filtering network. Finally, a simulation example is provided to illustrate the effectiveness of the proposed filter design approach.