Event-based encoding-decoding distributed filtering over sensor networks

Abstract

This paper is mainly concerned with the problem of distributed state estimation of nonlinear systems over a wireless sensor network under restricted bit rate. Taking into account the network transmission burden, an event-based encoding and decoding method is proposed to schedule the transmission measurement of each sensor. Under a synchronism schedule, the distributed filtering is derived in this paper. By constructing the Lyapunov function, sufficient conditions of the existence of distributed filtering are given. Finally, a simulation example is presented to certify the effectiveness of the proposed algorithm.