Year: 2020
Author: Tao Zhou, Yu Fu, Weidong Zhao, Tao Zhou
Numerical Mathematics: Theory, Methods and Applications, Vol. 13 (2020), Iss. 2 : pp. 296–319
Abstract
This work is concerned with numerical schemes for stochastic optimal control problems (SOCPs) by means of forward backward stochastic differential equations (FBSDEs). We first convert the stochastic optimal control problem into an equivalent stochastic optimality system of FBSDEs. Then we design an efficient second order FBSDE solver and an quasi-Newton type optimization solver for the resulting system. It is noticed that our approach admits the second order rate of convergence even when the state equation is approximated by the Euler scheme. Several numerical examples are presented to illustrate the effectiveness and the accuracy of the proposed numerical schemes.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/nmtma.OA-2019-0137
Numerical Mathematics: Theory, Methods and Applications, Vol. 13 (2020), Iss. 2 : pp. 296–319
Published online: 2020-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 24
Keywords: Forward backward stochastic differential equations stochastic optimal control stochastic maximum principle projected quasi-Newton methods.
Author Details
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Discrete‐time approximation for stochastic optimal control problems under the G‐expectation framework
Jiang, Lianzi
Optimal Control Applications and Methods, Vol. 43 (2022), Iss. 2 P.418
https://doi.org/10.1002/oca.2814 [Citations: 0]