%0 Journal Article
%T Input-to-state stabilizing nonlinear model-predictive-control based on affine control input<br>基于仿射控制输入的输入状态稳定非线性预测控制
%A SHI Dong-lin
%A MAO Zhi-zhong
%A <br>史冬琳
%A 毛志忠
%J 控制理论与应用
%D 2010
%I 
%X The paper is concerned with a feedback model-predictive-control(MPC) scheme based on an affine control input for constrained nonlinear systems with disturbances. The control actions of MPC can be obtained by solving a min-max optimal problem of a finite horizon cost-function defined by an infinite norm. The robust stabilization of the closed-loop system is analyzed by the notion of input-to-state stability(ISS), and the determination of the upper bound of admissible disturbance is addressed. Finally, a numerical simulation shows the effectiveness of the MPC scheme.
%K nonlinear systems
%K model-predictive-control
%K input-to-state stability
%K affine control input
%K disturbances<br>非线性系统
%K 模型预测控制
%K 输入状态稳定性
%K 仿射控制输入
%K 扰动
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=C75ABD32B6CCE446BC68B639796AF50C&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=77586D59F496BF38&eid=FEF59218C1413604&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0