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  • 标题:Theoretical advances on Economic Model Predictive Control with time-varying costs
  • 本地全文:下载
  • 作者:David Angeli ; Alessandro Casavola ; Francesco Tedesco
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:23
  • 页码:272-277
  • DOI:10.1016/j.ifacol.2015.11.295
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractEconomic Model Predictive Control is a technique for optimization of economic revenues arising from controllod dynamical processes that has estabilished itself as a variant of standard Tracking Model Predictive Control. It departs from the latter in that arbitrary cost functions are allowed in the formulation of the stage cost. This paper takes a further step in expanding the applicability of Economic Model Predictive Control by illustrating how the paradigm can be adapted in order to accomodate time-varying or parameter-varying costs.
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