摘要：AbstractIn this paper, the distributed state estimation problem of a sensor network is studied with event-based communication scheme. A novel scalable event-based distributed Kalman filtering algorithm is proposed to reduce the burden of communications between sensors. A deterministic triggering mechanism depending on a lower bound of the true information matrix is developed. Also, the stability conclusion of the distributed filter is provided under certain conditions of collective observability and suitable connectivity. The numerical simulation illustrates the feasibility as well as the effectiveness of the proposed algorithm.
