%0 Journal Article
%T Iterative multi-step prediction model based on theory of evidence<br>基于证据理论的迭代多步预测方法研究
%A HONG Bei
%A HU Chang-hua
%A JIANG Xue-peng
%A <br>洪贝
%A 胡昌华
%A 姜学鹏
%J 控制理论与应用
%D 2010
%I 
%X To make use of the uncertain information and subjective knowledge in complex nonlinear systems, we propose a multi-step prediction method for time series of evidence based on the phase space reconstruction theory and evidence inference theory. In the reconstruction of phase space for time series of evidence, we use the sliding window for time series of evidence to deal with the great amount of information and the shortage of accumulation errors to reduce the accumulated errors. The information storage is reduced by applying the iterative rules to the windows. The proposed methods have been applied to the simulation tests of a missile inertia device for fault prediction. The results show the effectiveness of these methods.
%K theory of evidence
%K iterative multi-step predicting
%K sliding widow<br>证据理论
%K 迭代多步预测
%K 滑动窗口
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=AB811A39B03493A479970AF4B73F20D2&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=59906B3B2830C2C5&sid=D3EB3151C2B04CB9&eid=6200939EB7D4F462&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0