A risk-averse analog of the Hamilton-Jacobi-Bellman equation

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6 Scopus citations

Abstract

In this paper, we study the risk-averse control problem for diffusion processes. We make use of a forward-backward system of stochastic differential equations to evaluate a fixed policy and to formulate the optimal control problem. Weak formulation is established to facilitate the derivation of the risk-averse dynamic programming equation. We prove that the value function of the risk-averse control problem is a viscosity solution of a risk-averse analog of the Hamilton-Jacobi-Bellman equation. On the other hand, a verification theorem is proved when the classical solution of the equation exists.

Original languageEnglish (US)
Title of host publicationSIAM Conference on Control and Its Applications 2015
EditorsCatherine Bonnet, Hitay Ozbay, Bozenna Pasik-Duncan, Qing Zhang
PublisherSociety for Industrial and Applied Mathematics Publications
Pages462-468
Number of pages7
ISBN (Electronic)9781510811539
DOIs
StatePublished - 2015
EventSIAM Conference on Control and Its Applications 2015 - Paris, France
Duration: Jul 8 2015Jul 10 2015

Publication series

NameSIAM Conference on Control and Its Applications 2015

Other

OtherSIAM Conference on Control and Its Applications 2015
Country/TerritoryFrance
CityParis
Period7/8/157/10/15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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