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This paper deals with the optimal control problem in which the controlled system is described by a fully coupled anticipated forward-backward stochastic differential delayed equation. The maximum principle for this problem is obtained under the assumption that the diffusion coefficient does not contain the control variables and the control domain is not necessarily convex. Both the necessary and sufficient conditions of optimality are proved. As illustrating examples, two kinds of linear quadratic control problems are discussed and both optimal controls are derived explicitly.
@article{COCV_2012__18_4_1073_0, author = {Huang, Jianhui and Shi, Jingtao}, title = {Maximum principle for optimal control of fully coupled forward-backward stochastic differential delayed equations}, journal = {ESAIM: Control, Optimisation and Calculus of Variations}, pages = {1073--1096}, publisher = {EDP-Sciences}, volume = {18}, number = {4}, year = {2012}, doi = {10.1051/cocv/2011204}, mrnumber = {3019473}, zbl = {1258.93122}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.1051/cocv/2011204/} }
TY - JOUR AU - Huang, Jianhui AU - Shi, Jingtao TI - Maximum principle for optimal control of fully coupled forward-backward stochastic differential delayed equations JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2012 SP - 1073 EP - 1096 VL - 18 IS - 4 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/cocv/2011204/ DO - 10.1051/cocv/2011204 LA - en ID - COCV_2012__18_4_1073_0 ER -
%0 Journal Article %A Huang, Jianhui %A Shi, Jingtao %T Maximum principle for optimal control of fully coupled forward-backward stochastic differential delayed equations %J ESAIM: Control, Optimisation and Calculus of Variations %D 2012 %P 1073-1096 %V 18 %N 4 %I EDP-Sciences %U http://geodesic.mathdoc.fr/articles/10.1051/cocv/2011204/ %R 10.1051/cocv/2011204 %G en %F COCV_2012__18_4_1073_0
Huang, Jianhui; Shi, Jingtao. Maximum principle for optimal control of fully coupled forward-backward stochastic differential delayed equations. ESAIM: Control, Optimisation and Calculus of Variations, Tome 18 (2012) no. 4, pp. 1073-1096. doi: 10.1051/cocv/2011204
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