Abstract

The problem of distributed filtering for a class of discrete-time nonlinear complex networks subject to the network bandwidth limitation is investigated. In order to reduce the network transmission burden, the round-robin protocol is employed. Under which, a quantization-based encoding-decoding mechanism is introduced to protect the security of measurements. Taking into account the quality of transmission data packets, the multiple description coding scheme is proposed. In order to describe the behavior of the packet dropouts induced by DoS attackers, two independent Bernoulli random variables are presented. Based on the round-robin protocol and multiple description encoding-decoding scheme, a distributed recursive filtering is derived to estimate the states of complex networks. Furthermore, the sufficient conditions to obtain the upper bound of estimation error covariance are given. Finally, an example is presented to certify the effectiveness of the proposed distributed recursive filtering.

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