Abstract
We consider a controlled system driven by a coupled forward–backward stochastic differential equation with a non degenerate diffusion matrix. The cost functional is defined by the solution of the controlled backward stochastic differential equation, at the initial time. Our goal is to find an optimal control which minimizes the cost functional. The method consists to construct a sequence of approximating controlled systems for which we show the existence of a sequence of feedback optimal controls. By passing to the limit, we establish the existence of a relaxed optimal control to the initial problem. The existence of a strict control follows from the Filippov convexity condition.
| Original language | English |
|---|---|
| Pages (from-to) | 861-875 |
| Number of pages | 15 |
| Journal | Stochastics |
| Volume | 90 |
| Issue number | 6 |
| DOIs | |
| State | Published - 18 Aug 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Hamilton–Jacobi–Bellman equation
- Optimal control
- forward–backward stochastic differential equations
- relaxed control
- stochastic control
- strict control
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation