Title :
Some stochastic differential games with state dependent noise
Author :
T. E. Duncan;B. Pasik-Duncan
Author_Institution :
Department of Mathematics, University of Kansas, Lawrence, 66045, USA
Abstract :
Some two person noncooperative zero sum stochastic differential games are formulated and solved where the stochastic system is linear with stochastic coefficients and a linear state dependence for the Brownian motion noise and a quadratic payoff for the two players. A direct method is used to obtain the optimal strategies. An example is provided for such a stochastic system.
Keywords :
"Games","Stochastic processes","Riccati equations","Mathematical model","Differential equations","Stochastic systems","Nash equilibrium"
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
DOI :
10.1109/CDC.2015.7402805