arrow
返回

Min-max feedback model predictive control for constrained linear systems

delete1998-01-01
delete709
PRE
AI
S
Scokaert, POM
M
Mayne, DQ
DOI:10.1109/9.704989delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Min-max feedback formulations of model predictive control are discussed, both in the fixed and variable horizon contexts. The control schemes the authors discuss introduce, in the control optimization, the notion that feedback is present in the receding-horizon implementation of thf control. This leads to improved performance, compared to standard model predictive control, and resolves the feasibility difficulties that arise with the min-max techniques that are documented in the literature. The stabilizing properties of the methods are discussed as well as some practical implementation details.
Keyword:
feedback
min-max optimization
model predictive control
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

暂无机构信息
引用论文

引用论文

Prognostic Significance of Marker Half-life during Chemotherapy in Non-seminomatous Germ Cell Testicular Tumors
err2009-07-08
err0
errOAAI
errSevil E. Inanc; Rasim Meral; Emin Darendeliler; Vildan Yasasever; Haluk Onat
err分享
err收藏
err分享
err收藏