首页    期刊浏览 2025年07月22日 星期二
登录注册

文章基本信息

  • 标题:On Handling Cost Gradient Uncertainty in Real-Time Optimization
  • 本地全文:下载
  • 作者:Martand Singhal ; Timm Faulwasser ; Dominique Bonvin
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:8
  • 页码:176-181
  • DOI:10.1016/j.ifacol.2015.08.177
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with the real-time optimization of uncertain plants and proposes an approach based on surrogate models to reach the plant optimum when the plant cost gradient is imperfectly known. It is shown that, for processes with only box constraints, the optimum is reached upon convergence if the multiplicative gradient uncertainty lies within some bounded interval. For the case of general constraints, conditions are derived that guarantee plant feasibility and, in principle, allow enforcing cost decrease at each iteration.
  • 关键词:Keywordsreal-time optimizationuncertain gradientsconvergencemonotonic cost decrease
国家哲学社会科学文献中心版权所有