Distributed H∞ fusion filtering for multi-sensor networked systems with DoS attacks and sensor saturations

Abstract

The design problem of a distributed H∞ fusion filter is investigated for multi-sensor networked systems subject to denial of service (DoS) attacks and sensor saturations. The prediction compensation strategy is adopted to solve the problem of packet losses caused by DoS attacks. The local H∞ filter based on single-sensor measurements is obtained via a linear matrix inequality (LMI) method such that the local filtering error system is exponentially stable in the mean square sense and possesses a specified H∞ performance. According to the different H∞ performance levels of local filters, a distributed scalar-weighted fusion filter is constructed. The proposed distributed fusion filter is low complex in computation and has better H∞ performance than the average of all local filters. Simulation studies verify the effectiveness of the proposed algorithms.