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  • 标题:An iterative algorithm for dynamic optimization of systems with input-dependent hydraulic delays
  • 本地全文:下载
  • 作者:Charles-Henri Clerget ; Jean-Philippe Grimaldi ; Mériam Chèbre
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:18
  • 页码:7-12
  • DOI:10.1016/j.ifacol.2018.09.235
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this article, we propose a numerical algorithm capable of handling optimal control problems for a class of systems with input-dependent input hydraulic delays. Such delays are often observed in process industries. A careful look at the stationarity conditions allows us to derive an iterative algorithm approaching the solution of this problem by solving a series of simpler auxiliary instances. Interestingly, the algorithm is able to leverage state-of-the-art numerical optimization tools such as IPOPT. The proof of convergence is sketched, highlighting the relevance of the chosen algorithmic structure as a form of gradient descent in a functional space. The practical interest of the algorithm is evidenced on a numerical example, showing the desirable properties of convergence and the numerical efficiency.
  • 关键词:KeywordsOptimal controltime varying delaysnumerical methodsconvergence analysis
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