摘要
We study the optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory where the dynamics is governed by a controlled It?-Lévy process and the information available to the controller is possibly less than the overall information. Sufficient and necessary maximum principles for the optimal control of such systems are derived using Malliavin calculus techniques. As an illustration, we apply the result to an optimal consumption problem in a financial model with memory and partial information.
We study the optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory where the dynamics is governed by a controlled It?-Lévy process and the information available to the controller is possibly less than the overall information. Sufficient and necessary maximum principles for the optimal control of such systems are derived using Malliavin calculus techniques. As an illustration, we apply the result to an optimal consumption problem in a financial model with memory and partial information.
引文
[1]B.?ksendal,A.Sulem,Risk minimization in financial markets modeled by It o?-L évy processes,Afr.Mat.,26:939–979,2015.
[2]F.Antonelli,Backward-forward stochastic differential equations,Ann.Appl.Probab.,3:777–793,1993.
[3]J.Ma,P.Protter,J.Yong,Solving forward-backward stochastic differential equations explicitly–a four step scheme,Probab.Theory Relat.Fields,98:339–359,1994.
[4]Y.Hu,S.Peng.Solution of forward-backward stochastic differential equations,Probab.Theory Relat.Fields,103:273–283,1995.
[5]Z.Wu,Maximum principle for optimal control problem of fully coupled forward-backward stochastic systems,Syst.Sci.Math.Sci.,3:249–259,1998.
[6]S.Peng,Z.Wu,Fully coupled forward-backward stochastic differential equations and applications to optimal control.SIAM J.Control Optim.,37:825–843,1999.
[7]J.Shi,Z.Wu,The maximum principle for fully coupled forward-backward stochastic control system,Acta Autom.Sin.,32:161–169,2006.
[8]Q.Meng,A maximum principle for optimal control problem of fully coupled forward-backward stochastic systems with partial information,Sci.China Ser.A Math.,52:1579–1588,2009.
[9]B.?ksendal,A.Sulem,Maximum principles for optimal control of forward-backward stochastic differential equations with jumps,SIAM J.Control Optim.,48:2945–2976,2009.
[10]J.Huang,X.Li,G.Wang,Near-optimal control problems for linear forward-backward stochastic systems,Automatica,46:397–404,2010.
[11]Z.Wu,F.Zhang,Stochastic maximum principle for optimal control problems of forward-backward systems involving impulse controls,IEEE Trans.Auto.Control,56:1401–1406,2011.
[12]Z.Wu,A general maximum principle for optimal control of forward-backward stochastic systems,Automatica,49:1473–1480,2013.
[13]M.Hafayed,A mean-field maximum principle for optimal control of forward-backward stochastic differential equations with Poisson jump prcesses,Int.J.Dynam.Control,1:300–315,2013.
[14]G.Wang,Z.Wu,J.Xiong,A linear-quadratic optimal control problem of forward-backward stochastic differential equations with partial information,IEEE Trans.Auto.Control,60:2904–2916,2015.
[15]Z.Sun,Maximum principle for forward-backward stochastic control system under G-expectation and relation to dynamic programming,J.Comput.Appl.Math.,296:753–775,2016.
[16]J.Ma,J.Yong,Forward-Backward Stochastic Differential Equations and Their Applications.Berlin:Springer-Verlag,1999.
[17]K.Dahl,S.E.A.Mohammed,B.?ksendal,E.E.R?se,Optimal control of systems with noisy memory and ESDEs with Malliavin derivatives,J.Fun.Anal.,271:289–329,2016.
[18]G.Di Nunnos,B.?ksendal,F.Proske,Malliavin Calculus for L évy Processes with Applications to Finance.Berlin:SpringerVerlag,2009.