Numerical solutions for stochastic differential games with regime switching
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 509-521 |
| Journal / Publication | IEEE Transactions on Automatic Control |
| Volume | 53 |
| Issue number | 2 |
| Publication status | Published - Mar 2008 |
| Externally published | Yes |
Link(s)
Abstract
This paper is concerned with numerical methods for stochastic differential games of regime-switching diffusions. Numerical methods using Markov chain approximation techniques are developed. A new proof of the existence of a saddle point for the stochastic differential game is provided. This new proof enables us to treat certain systems with nonseparable (in controls) structure. Convergence of the algorithms is derived by means of weak convergence methods. In addition, examples are also provided for demonstration purposes. © 2008 IEEE.
Research Area(s)
- Controlled regime-switching diffusion, Convergence, Markov chain approximation, Saddle point, Stochastic differential game
Citation Format(s)
Numerical solutions for stochastic differential games with regime switching. / Song, Qingshou; Yin, G. George; Zhang, Zhimin.
In: IEEE Transactions on Automatic Control, Vol. 53, No. 2, 03.2008, p. 509-521.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
