您当前所在位置: 首页 > 学者

丁宝苍

  • 66浏览

  • 0点赞

  • 0收藏

  • 1分享

  • 125下载

  • 0评论

  • 引用

期刊论文

New formulation of robust MPC by incorporating off-lineapproach with on-line optimization

丁宝苍BAOCANG DINGy and BIAO HUANG*z

,-0001,():

URL:

摘要/描述

This article addresses robust model predictive control (MPC) for systems with polytopicdescription. An existing off-line robust MPC enables the on-line computation as simple assearching a state feedback gain among the look-up table. We consider enlarging the region ofattraction of the off-line MPC by incorporating free perturbation items. First, a largerellipsoidal region of attraction is off-line constructed, in which a simple optimization problemis solved on-line. Then, outside of this larger ellipsoid, a standard robust MPC is solved onlinesuch that the overall region of attraction can be rendered as a much larger nonellipsoidalone. The proposed approach possesses all the merits of the off-line MPC and greatly enlargesthe region of attraction. A simulation example is given to demonstrate the effectiveness.

【免责声明】以下全部内容由[丁宝苍]上传于[2010年12月07日 16时51分04秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。

我要评论

全部评论 0

本学者其他成果

    同领域成果