文章基本信息

标题：Simultaneous Update of Controller and Model by Using Virtual Internal Model Tuning
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作者：Taichi Ikezaki ; Osamu Kaneko
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：4468-4473
DOI：10.1016/j.ifacol.2020.12.448
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we consider data-driven approach to the simultaneous attainment of a controller and a model. Here, we utilize Virtual Internal Model Tuning (VIMT), which is proposed by the same authors, to update a controller with a virtual internal model. We clarify that the VIMT is effective for not only the update of a controller but also the attainment of the plant model so as to reflect a given tracking specification.
关键词：KeywordsData-driven controlVirtual Internal Model TuningModelingControl