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  • 标题:About a Post-processing Design of Regression-like Nonlinear Internal Models
  • 本地全文:下载
  • 作者:Michelangelo Bin ; Lorenzo Marconi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:15367-15372
  • DOI:10.1016/j.ifacol.2017.08.1858
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with the problem of output regulation for minimum-phase single-input single-output nonlinear systems. We propose a variation of the “regression-like” design introduced by Byrnes and Isidori (2004), showing how it is possible to move the internal model from the control input to the regulation error. In this way, we obtain a post-processing scheme that more likely resembles the general design for linear systems. Although these approaches are equivalent for single-input single-output systems, a post-processing design represents a step forward in the systematic extension of the theory to the general multivariable case.
  • 关键词:KeywordsOutput Regulation
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