Distributed Optimal H∞ Fusion Filter for Multi-Sensor Networked Systems with Sensor Saturations and DoS Attacks

The problem that considers multi-sensor distributed
$H_{\infty}$
fusion filtering of networked systems is studied where sensor saturations and denial of service (Dos) attacks are considered simultaneously. The Dos attacks bring adverse influences on data loss, which is compensated by predictive input method. By means of a linear matrix inequality (LMI) method, constructing the distributed optimal fusion filter (DOFF) depends on local filters, which confirms stability and performance constrain condition of the fusion error system (FES). The performance level of the proposed DOFF is better than every local filter. A numerical simulation illustrates availability of the DOFF.