%0 Journal Article
%T Robustly Stable Control of Continuous-time Generalized Predictive ControlCombined with QFT Based on GIMC Structure<br>在GIMC结构下基于定量反馈理论的连续广义预测鲁棒稳定控制
%A WANG Zeng-Hui
%A CHEN Zeng-Qiang
%A YUAN Zhu-Zhi
%A <br>王增会
%A 陈增强
%A 袁著祉
%J 自动化学报
%D 2007
%I 
%X The continuous-time generalized predictive control (CGPC) and the quantitative feedback theory (QFT) are used together to control the plant with high uncertainty. QFT conquers the plant uncertainty and stabilizes the system in the inner loop without affecting the nominal performance based on the generalized internal model control (GIMC) structure. CGPC is used to obtain the necessary control performance in the outer loop. According to several given sufficient conditions, the available tuning parameters of CGPC are selected to make the system robustly stable. Finally, an example is given to show how to use this technique; and it is shown that this combined approach gets better performance than if only one of them is used.
%K CGPC
%K QFT
%K GIMC
%K small gain theorems
%K robustly stable<br>稳定控制
%K 连续时间控制
%K 定量反馈理论
%K 内部模型控制
%K 自动控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=C5ED73C07F369286&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=B31275AF3241DB2D&sid=95F0D0DE8CD6F434&eid=7004BE6E41AAF52C&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=11