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  • 标题:On unconstrained MPC through multirate sampling ⁎
  • 本地全文:下载
  • 作者:Mohamed Elobaid ; Mattia Mattioni ; Salvatore Monaco
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:16
  • 页码:388-393
  • DOI:10.1016/j.ifacol.2019.11.811
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This paper formally highlights how the multirate sampled data equivalent model can be exploited for prediction in an MPC formulation in order to mitigate the possible instability arising from an MPC design while ensuring prefixed boundedness of the control amplitude. This last aspect is in particular addressed and solved with reference a class of systems which admit, under feedback, a computable sampled model.
  • 关键词:KeywordsControl of Sampled-Data SystemsModel-PredictiveOptimal Control
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