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  • 标题:Conversion of Certain Stochastic Control Problems into Deterministic Control Problems ⁎
  • 本地全文:下载
  • 作者:William M. McEneaney ; Peter M. Dower
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:2208-2213
  • DOI:10.1016/j.ifacol.2020.12.005
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA class of nonlinear, stochastic staticization control problems (including minimization problems with smooth, convex, coercive payoffs) driven by diffusion dynamics with constant diffusion coefficient is considered. A fundamental solution form is obtained where the same solution can be used for a limited variety of terminal costs without re-solution of the problem. One may convert this fundamental solution form from a stochastic control problem form to a deterministic control problem form. This yields an equivalence between certain second-order (in space) Hamilton-Jacobi partial differential equations (HJ PDEs) and associated first-order HJ PDEs. This reformulation has substantial numerical implications.
  • 关键词:KeywordsStochastic controlnonlinear controlHamilton-Jacobioptimal controldynamic programming
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