标题:Distributed full-order optimal fusion filters and smoothers for discrete-time stochastic singular systems
作者:Sun, Jiabing; Zhang, Chengjin; Guo, Bing
作者机构:[Sun, Jiabing; Zhang, Chengjin] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.; [Sun, Jiabing] Shandong Univ Weihai, Sch Mech 更多
通讯作者:Sun, J
通讯作者地址:[Zhang, CJ]Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China.
来源:INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
出版年:2011
卷:42
期:3
页码:507-516
DOI:10.1080/00207721003611649
关键词:information fusion; multi-sensor systems; singular systems; filters;; smoothers
摘要:The optimal fusion problem for the state estimation of discrete-time stochastic singular systems is considered. The key idea is to convert a stochastic singular system with multiple sensors and correlated noises into an equivalent group of non-singular systems. Based on the state estimation for each local non-singular system, the optimal full-order filters and smoothers with a three-layer fusion structure are obtained for the original system using the optimal weighted fusion algorithms in the linear minimum variance sense. A simulation example shows that the fusion estimator is better than each local one.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:4
Scopus被引频次:5
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649726692&doi=10.1080%2f00207721003611649&partnerID=40&md5=774123c8a1586f29ebd8d35a4bf8f0c7
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