H∞ Filtering for Networked Systems: A Buffer-Aided Strategy

This paper studies the H
∞
filtering problem for networked systems. Bounded transmission intervals resulted from the limited network bandwidths are considered. To alleviate the effects of the transmission intervals on the filtering performance, a buffer-aided strategy is employed. By iterating the state equation, the state-space model is obtained at the transmission instants, and moreover, the measurements stored in the buffer can be processed simultaneously. The aim here is to design an H
∞
filter based on the obtained state-space model such that the filtering error is asymptotically stable and has the H
∞
performance index. By a transmission-interval-dependent Lyapunov function, sufficient criteria are proposed to ensure the existence of the desired H
∞
filter parameter. A numerical example validates the the designed filter’s effectiveness.