文章基本信息

标题：Nonparametric LPV data-driven control
本地全文：下载
作者：Simone Formentin ; Dario Piga ; Roland Tóth 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：26
页码：146-151
DOI：10.1016/j.ifacol.2015.11.128
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a data-driven technique for linear parameter-varying (LPV) controller design is discussed. The proposed method allows to synthesize directly from data an LPV controller in input-output (IO) form, without the need to identifying a model of the plant. In the state of the art methods, the controller structure must be given a-priori. Instead, in the proposed approach both the controller structure and parameters are automatically determined based on a set of experimental measurements. The effectiveness of the method is demonstrated on a numerical example.
关键词：KeywordsData-driven controlLPV systemsLS-SVMInstrumental Variables