DocumentCode
620613
Title
Backward linear quadratic stochastic optimal control problems and nonzero sum differential games
Author
Yanjun Lou ; Wenqiang Li
Author_Institution
Sch. of Math. & Stat., Shandong Univ. at Weihai, Weihai, China
fYear
2013
fDate
25-27 May 2013
Firstpage
5015
Lastpage
5020
Abstract
In R. Buckdahn, Li, Peng [6], the authors obtained mean-field backward stochastic Differential equations (BSDEs) in a natural way as a limit of some highly dimensional system of forward and backward SDEs, corresponding to a great number of particles. In this paper, firstly, we prove that there exists a unique solution of fully coupled MF-FBSDE. Then we use the solutions of mean-field forward-backward stochastic differential equations to get the explicit form of the optimal control for linear quadratic optimal control problem and the open-loop Nash equilibrium point of nonzero sum differential games.
Keywords
differential equations; game theory; linear quadratic control; open loop systems; stochastic systems; backward SDE; backward linear quadratic stochastic optimal control problem; forward SDE; mean-field backward stochastic differential equation; nonzero sum differential games; open-loop Nash equilibrium point; Differential equations; Equations; Games; Nash equilibrium; Optimal control; Process control; Symmetric matrices; Mean-field forward-backward stochastic differential equations; nonzero sum differential games; stochastic optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561842
Filename
6561842
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