Near-optimal control for stochastic recursive problems

Eddie Hui, Jianhui Huang, Xun Li, Guangchen Wang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

21 Citations (Scopus)

Abstract

It is well documented (e.g. Zhou (1998) [8]) that the near-optimal controls, as the alternative to the "exact" optimal controls, are of great importance for both the theoretical analysis and practical application purposes due to its nice structure and broad-range availability, feasibility as well as flexibility. However, the study of near-optimality on the stochastic recursive problems, to the best of our knowledge, is a totally unexplored area. Thus we aim to fill this gap in this paper. As the theoretical result, a necessary condition as well as a sufficient condition of near-optimality for stochastic recursive problems is derived by using Ekeland's principle. Moreover, we work out an ε-optimal control example to shed light on the application of the theoretical result. Our work develops that of [8] but in a rather different backward stochastic differential equation (BSDE) context. © 2010 Elsevier B.V.
Original languageEnglish
Pages (from-to)161-168
JournalSystems and Control Letters
Volume60
Issue number3
DOIs
Publication statusPublished - Mar 2011
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Backward stochastic differential equation
  • Ekeland's principle
  • Near-optimal
  • Necessary condition
  • Sufficient condition

Fingerprint

Dive into the research topics of 'Near-optimal control for stochastic recursive problems'. Together they form a unique fingerprint.

Cite this