Stochastic Optimization Theory of Backward Stochastic Differential Equations Driven by G-Brownian Motion
We consider the stochastic optimal control problems under G-expectation. Based on the theory of backward stochastic differential equations driven by G-Brownian motion, which was introduced in Hu et al. (2012), we can investigate the more general stochastic optimal control problems under G-expectatio...
Saved in:
| Main Authors: | Zhonghao Zheng, Xiuchun Bi, Shuguang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/564524 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reflected Backward Stochastic Differential Equations Driven by Countable Brownian Motions
by: Pengju Duan, et al.
Published: (2013-01-01) -
Lyapunov Techniques for Stochastic Differential Equations Driven by Fractional Brownian Motion
by: Caibin Zeng, et al.
Published: (2014-01-01) -
The Existence, Uniqueness, and Controllability of Neutral Stochastic Delay Partial Differential Equations Driven by Standard Brownian Motion and Fractional Brownian Motion
by: Dehao Ruan, et al.
Published: (2018-01-01) -
Averaging Method for Neutral Stochastic Delay Differential Equations Driven by Fractional Brownian Motion
by: Peiguang Wang, et al.
Published: (2020-01-01) -
Numerical Implementation of Stochastic Operational Matrix Driven by a Fractional Brownian Motion for Solving a Stochastic Differential Equation
by: R. Ezzati, et al.
Published: (2014-01-01)