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Linear minimum-mean-square error estimation of Markovian jump linear systems with randomly delayed measurements
文献类型:期刊
作者:Yang, Yanbo[1]  Liang, Yan[2]  Yang, Feng[3]  Qin, Yuemei[4]  Pan, Quan[5]  
机构:[1]School of Automation, Northwestern Polytechnical University, Xi'an, China |Key Laboratory of Information Fusion Technology, Ministry of Education, China
[2]School of Automation, Northwestern Polytechnical University, Xi'an, China |Key Laboratory of Information Fusion Technology, Ministry of Education, China
[3]School of Automation, Northwestern Polytechnical University, Xi'an, China |Key Laboratory of Information Fusion Technology, Ministry of Education, China
[4]School of Automation, Northwestern Polytechnical University, Xi'an, China |Key Laboratory of Information Fusion Technology, Ministry of Education, China
[5]School of Automation, Northwestern Polytechnical University, Xi'an, China |Key Laboratory of Information Fusion Technology, Ministry of Education, China
通讯作者:Yang, YB (reprint author), Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China.
年:2014
期刊名称:IET SIGNAL PROCESSING影响因子和分区
卷:8
期:6
页码范围:658-667
增刊:正刊
学科:工程学
收录情况:SCI(E)(WOS:000340571400010)  EI(20151700791788)  
所属部门:自动化学院
被引频次:11
人气指数:3469
浏览次数:3428
基金:National Science Foundation Council of China [61135001, 61374023, 61374159, 61203234]; Doctorate Foundation of Northwestern Polytechnical University; Aeronautical Science Foundation Council of China [20125153027]
摘要:
This study presents the state estimation problem of discrete-time Markovian jump linear systems with randomly delayed measurements. Here, the delay is modelled as the combination of different number of binary stochastic variables according to the different possible delay steps. In the actually delayed measurement equation, multiple adjacent step measurement noises are correlated. Owing to the stochastic property from the measurement delay, the estimation model is rewritten as a discrete-time sys ...More
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