%0 Journal Article
%T Model-predictive-control based on subspace identification and its application<br>基于子空间辨识的模型预测控制策略及其应用
%A SUN Lei
%A JIN Xiao-ming
%A <br>孙 磊
%A 金晓明
%J 控制理论与应用
%D 2009
%I 
%X To deal with the nonlinearity and time-varying characteristics in the processes of chemical industry, an adaptive-predictive-control strategy based on the recursive subspace identification is proposed. The predictive models obtained from the subspace identification are considered the initial models, which are compared with the online updated model to generate matching errors. The model with the smallest matching error is selected for use in calculating the process control input, thus improving the model accuracy. The control simulations of a simulated moving bed(SMB) show that the method is robust to the system parameters perturbation and efficient in attenuating external disturbance.
%K subspace identification
%K adaptive control
%K matching error
%K simulated moving bed<br>子空间辨识
%K 自适应控制
%K 匹配误差
%K 模拟移动床
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=2EE378EFA30FAF6FC3656036ABCE4E25&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=38B194292C032A66&sid=C2F76551C0111538&eid=0C3F9E980968AF79&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=7