期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 57, 期 1, 页码 230-236出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2011.2161838
关键词
Consensus theory; distributed estimation; jump Markov nonlinear system (JMNLS); unscented Kalman filter (UKF)
资金
- National 973 Program [2012CB821200]
- NSFC [61134005, 60921001, 90916024, 91116016]
This note studies the problem of distributed estimation for jump Markov nonlinear systems (JMNLSs) in a not fully connected sensor network. Based on the consensus theory, a distributed unscented Kalman filter (UKF) is first derived for nonlinear systems without jumping parameters and then it is extended to develop a distributed multiple model UKF for JMNLSs. The proposed filtering algorithm is illustrated via a simulation example involving tracking a maneuvering target.
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