文章基本信息

标题：Robust receding horizon control for linear systems with state and input dependent disturbances
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作者：Rainer M. Schaich ; Mark Cannon
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：23
页码：533-539
DOI：10.1016/j.ifacol.2015.11.333
语种：English
出版社：Elsevier
摘要：AbstractA robust model predictive controller is proposed for constrained linear systems with unknown disturbances that are subject to state and input dependent piecewise affine bounds. The formulation encompasses problems involving model uncertainty arising from unknown system parameters and linearisation errors. We propose a computationally efficient method for the online optimization of a receding horizon min-max cost over the class of feedback strategies subject robust constraint satisfaction and provide an illustrative numerical example.
关键词：KeywordsRobust optimal controlmin-max controlmultiparametric programming