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  • 标题:Nonparametric LPV data-driven control
  • 本地全文:下载
  • 作者:Simone Formentin ; Dario Piga ; Roland Tóth
  • 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
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