%0 Journal Article
%T Robust H-two state estimation for stochastic uncertain discrete-time system with missing measurements<br>测量数据丢失的随机不确定离散系统的鲁棒H2状态估计
%A WANG Wu
%A YANG Fu-wen
%A ZHAN Yao-qing
%A <br>王 武
%A 杨富文
%A 詹耀清
%J 控制理论与应用
%D 2008
%I 
%X In the packet-based transmission of data over a network with limited bandwidth or temporary sensor failure, measurement data may be missing.The H-two filtering problem for an uncertain discrete-time system with missing mea- surement data is considered.The uncertain parameters in the system matrices are assumed to belong to a given convex bounded polyhedral domain.The occurrence of missing measurement data is random and is assumed to be a Bernoulli distributed sequence with known probability.Sufficient conditions are derived in terms of linear matrix inequalities (LMIs) for the existence of a full-and-reduced-order filter ensuring a prescribed H-two performance for all admissible uncertainties and the possible data missing.Numerical example is provided to demonstrate the feasibility of the proposed method.
%K missing data
%K robust H-two filtering
%K polyhedral uncertainty
%K LMI<br>数据丢失
%K 鲁棒H2滤波
%K 凸多面体不确定
%K 线性矩阵不等式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=6B4C2183F28E4E260084D2F5B3B8C724&yid=67289AFF6305E306&vid=C5154311167311FE&iid=38B194292C032A66&sid=AC2617B68B137D9D&eid=A48DE16C07AAAB06&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=12