Stochastic optimal control problem with infinite horizon driven by G-Brownian motion
The present paper considers a stochastic optimal control problem, in which the cost function is defined through a backward stochastic differential equation with infinite horizon driven by G-Brownian motion. Then we study the regularities of the value function and establish the dynamic programming pr...
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Published in | ESAIM. Control, optimisation and calculus of variations Vol. 24; no. 2; pp. 873 - 899 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Les Ulis
EDP Sciences
01.04.2018
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Subjects | |
Online Access | Get full text |
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Summary: | The present paper considers a stochastic optimal control problem, in which the cost function is defined through a backward stochastic differential equation with infinite horizon driven by G-Brownian motion. Then we study the regularities of the value function and establish the dynamic programming principle. Moreover, we prove that the value function is the unique viscosity solution of the related Hamilton−Jacobi−Bellman−Isaacs (HJBI) equation. |
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Bibliography: | href:https://www.esaim-cocv.org/articles/cocv/abs/2018/02/cocv160089/cocv160089.html ark:/67375/80W-0WVP247D-3 Falei Wang is the corresponding author. Hu's research was supported by the National Natural Science Foundation of China (No. 11671231) and the Young Scholars Program of Shandong University (No. 2016WLJH10). Wang's research was supported by the National Natural Science Foundation of China (No. 11601282), the Natural Science Foundation of Shandong Province (No. ZR2016AQ10) and the Fundamental Research Funds of Shandong University (No. 2015GN023). Hu and Wang's research was partially supported by the Tian Yuan Projection of the National Natural Sciences Foundation of China (Nos. 11526205 and 11626247) and the 111 Project (No. B12023) publisher-ID:cocv160089 humingshang@sdu.edu.cn istex:F00A0B058D95051B1FFF1FE1EAD083F5976C5355 |
ISSN: | 1292-8119 1262-3377 |
DOI: | 10.1051/cocv/2017044 |