Maximum principle for recursive optimal control problem of stochastic delay evolution equations

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Liu, Guomin, Song, Jian, Wang, Meng
Format: Preprint
Publié: 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866929201780621312
author Liu, Guomin
Song, Jian
Wang, Meng
author_facet Liu, Guomin
Song, Jian
Wang, Meng
contents For a class of stochastic delay evolution equations driven by cylindrical $Q$-Wiener process, we study the Pontryagin's maximum principle for the stochastic recursive optimal control problem. The delays are given as moving averages with respect to general finite measures and appear in all the coefficients of the control system. In particular, the final cost can contain the state delay. To derive the main result, we introduce a new form of anticipated backward stochastic evolution equations with terminals acting on an interval as the adjoint equations of the delayed state equations and deploy a proper dual analysis between them. Under certain convex assumption on the coefficient function and the Hamiltonian, we also show sufficiency of the maximum principle.
format Preprint
id arxiv_https___arxiv_org_abs_2310_11376
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Maximum principle for recursive optimal control problem of stochastic delay evolution equations
Liu, Guomin
Song, Jian
Wang, Meng
Optimization and Control
Probability
For a class of stochastic delay evolution equations driven by cylindrical $Q$-Wiener process, we study the Pontryagin's maximum principle for the stochastic recursive optimal control problem. The delays are given as moving averages with respect to general finite measures and appear in all the coefficients of the control system. In particular, the final cost can contain the state delay. To derive the main result, we introduce a new form of anticipated backward stochastic evolution equations with terminals acting on an interval as the adjoint equations of the delayed state equations and deploy a proper dual analysis between them. Under certain convex assumption on the coefficient function and the Hamiltonian, we also show sufficiency of the maximum principle.
title Maximum principle for recursive optimal control problem of stochastic delay evolution equations
topic Optimization and Control
Probability
url https://arxiv.org/abs/2310.11376