4.7 Article

Distributed Estimation for Moving Target Based on State-Consensus Strategy

期刊

IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 58, 期 8, 页码 2096-2101

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2013.2246476

关键词

Distributed estimation; Kalman-Bucy filter; moving target; stability; switching topologies

资金

  1. NSFC [61174143, 61174071]

向作者/读者索取更多资源

This technical note studies the distributed estimation problem for a continuous-time moving target under switching interconnection topologies. A recursive distributed estimation algorithm is proposed by using state-consensus strategy, where a common gain is assigned to adjust the innovative and state-consensus information for each sensor in the network. Under mild conditions on observability and connectivity, the stability of the distributed estimation algorithm is analyzed. An upper bound and lower bound for the total mean square estimation error (TMSEE) are obtained by virtue of the common Lyapunov method and Kalman-Bucy filtering theory, respectively. Then a numerical simulation is given to verify the effectiveness of the proposed algorithm.

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