文章基本信息

标题：Robust output feedback model predictive control using reduced order models
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作者：Markus Kögel ; Rolf Findeisen
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：8
页码：1008-1014
DOI：10.1016/j.ifacol.2015.09.100
语种：English
出版社：Elsevier
摘要：AbstractWe consider the robust output feedback control of uncertain systems utilizing a robust predictive control scheme based on reduced order models. In detail, we assume that for the plant an uncertain, linear full order model is available. For this model a reduced order model is derived. The proposed control scheme utilizes an estimator based on the reduced order model, which is combined with a robust model predictive controller to robustly stabilize the system. The proposed framework allows to guarantee robust satisfaction of input and output constraints as well as robust stability. An efficient implementation is possible, because online only the solution of a standard model predictive control problem and a simple state estimation problem are needed, which both involve the reduced model. The applicability of the control scheme is outlined using simulation examples.
关键词：KeywordsModel predictive controlRobust model predictive controlLarge-scale linear systemsModel order reductionRobustness stability