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  • 标题:Stability of MIMO Feedback Error Learning Control under a Strictly Positive Real Condition ⁎
  • 本地全文:下载
  • 作者:Kenji Sugimoto ; Xinyou Han ; Wataru Imahayashi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:33
  • 页码:168-174
  • DOI:10.1016/j.ifacol.2018.12.112
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMotivated by a biological motion control model called feedback error learning (FEL), adaptive feedforward control schemes have been extensively studied in literature. Stability of a single-input single-output (SISO) FEL control scheme has been shown under a strictly positive real condition via passivity theory. This paper generalizes the scheme to the multi-input multi-output (MIMO) case together with its stability proof, by making full use of left coprime fraction by polynomial matrices. Numerical simulation illustrates the effectiveness of the proposed tuning law over existing MIMO FEL schemes resorting to recursive least square estimation.
  • 关键词:KeywordsFeedback Error LeaningTwo-degree-of-freedom StructureFeedforward ControlPolynomial MatrixAdaptive Control
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