%0 Journal Article
%T R-adjustable learning control for batch process
间歇生产过程的R调节学习控制
%A JIA Li
%A SHI Ji-ping
%A CHENG Da-shuai
%A QIU Ming-Sen
%A
贾立
%A 施继平
%A 程大帅
%A 邱铭森
%J 控制理论与应用
%D 2011
%I
%X To track the operation performance of a batch process under iterative learning control, we propose an R-adjustment control strategy. The definitions of zero-tracking error and bounded-tracking error are given according to classical control theory. We investigate the iterative learning control strategy for achieving zero-tracking error in the output, and rigorously prove the tracking ability of the system under control. The most important conclusion is that the zero-tracking error can be achieved by the R-adjustment control strategy, which provides the basis for practical applications.
%K batch process
%K iterative learning
%K zero-tracking
%K bounded-tracking
间歇过程
%K 迭代学习
%K 零跟踪
%K 有界跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=1F8EB868F38CE07278C5FDB8FD5FB928&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=545EC3172B3789BC&eid=38C4598EB9061892&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=11