Skip to main content
Log in

The Optimal Control of Fully-Coupled Forward-Backward Doubly Stochastic Systems Driven by Itô-Lévy Processes

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

This paper studies the optimal control of a fully-coupled forward-backward doubly stochastic system driven by Itô-Lévy processes under partial information. The existence and uniqueness of the solution are obtained for a type of fully-coupled forward-backward doubly stochastic differential equations (FBDSDEs in short). As a necessary condition of the optimal control, the authors get the stochastic maximum principle with the control domain being convex and the control variable being contained in all coefficients. The proposed results are applied to solve the forward-backward doubly stochastic linear quadratic optimal control problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Øksendal B and Sulem A, Risk minimization in financial markets modeled by Itô’s-Lévy processes, Afrika Matematika, 2015, 26(5-6): 939–979.

    Article  MathSciNet  MATH  Google Scholar 

  2. Antonelli F, Backward-forward stochastic differential equations, The Annals of Applied Probability, 1993, 3(3): 777–793.

    Article  MathSciNet  MATH  Google Scholar 

  3. Ma J, Protter P, and Yong J M, Solving forward-backward stochastic differential equations explicitly — A four step scheme, Probability Theory and Related Fields, 1994, 98(3): 339–359.

    Article  MathSciNet  MATH  Google Scholar 

  4. Peng S G, Backward stochastic differential equations and applications to optimal control, Applied Mathematics & Optimization, 1993, 27(2): 125–144.

    Article  MathSciNet  MATH  Google Scholar 

  5. Wu Z, Maximum principle for optimal control problem of fully coupled forward-backward stochastic systems, Journal of Systems Science and Mathematical Sciences, 1998, 11(3): 249–259.

    MathSciNet  MATH  Google Scholar 

  6. Wu Z, A general maximum principle for optimal control of forward-backward stochastic systems, Automatica, 2013, 49(5): 1473–1480.

    Article  MathSciNet  MATH  Google Scholar 

  7. Ji S L and Wei Q M, A maximum principle for fully coupled forward-backward stochastic control systems with terminal state constraints, Journal of Mathematical Analysis and Applications, 2013, 407(2): 200–210.

    Article  MathSciNet  MATH  Google Scholar 

  8. Peng S G and Wu Z, Fully coupled forward-backward stochastic differential equations and applications to optimal control, SIAM Journal on Control and Optimization, 1999, 37(3): 825–843.

    Article  MathSciNet  MATH  Google Scholar 

  9. Wu Z, Forward-backward stochastic differential equations, linear quadratic stochastic optimal control and nonzero sum differential games, Journal of Systems Science & Complexity, 2005, 18(2): 179–192.

    MathSciNet  MATH  Google Scholar 

  10. Yu Z Y, Linear-quadratic optimal control and nonzero-sum differential game of forward-backward stochastic system, Asian Journal of Control, 2012, 14(1): 173–185.

    Article  MathSciNet  MATH  Google Scholar 

  11. Meng Q X, A maximum principle for optimal control problem of fully coupled forward-backward stochastic systems with partial information, Science in China Series A: Mathematics, 2009, 52(7): 1579–1588.

    Article  MathSciNet  MATH  Google Scholar 

  12. Øksendal B and Sulem A, Maximum principles for optimal control of forward-backward stochastic differential equations with jumps, SIAM Journal on Control and Optimization, 2009, 48(5): 2945–2976.

    Article  MathSciNet  MATH  Google Scholar 

  13. Wang G C and Wu Z, The maximum principles for stochastic recursive optimal control problems under partial information, IEEE Transactions on Automatic Control, 2009, 54(6): 1230–1242.

    Article  MathSciNet  MATH  Google Scholar 

  14. Wang G C, Wu Z, and Xiong J, Maximum principles for forward-backward stochastic control systems with correlated state and observation noises, SIAM Journal on Control and Optimization, 2013, 51(1): 491–524.

    Article  MathSciNet  MATH  Google Scholar 

  15. Ma H P and Liu B, Linear-quadratic optimal control problem for partially observed forward-backward stochastic differential equations of mean-field type, Asian Journal of Control, 2016, 18(6): 2146–2157.

    Article  MathSciNet  MATH  Google Scholar 

  16. Wu J B, Wang W C, and Peng Y, Optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory, Proceedings of the 36th Chinese Control Conference (CCC), Dalian, 2017, 1750–1755.

  17. Yong J M and Zhou X Y, Stochastic Controls: Hamiltonian Systems and HJB Equations, Springer Science & Business Media, 1999.

  18. Pardoux E and Peng S G, Backward doubly stochastic differential equations and systems of quasilinear spdes, Probability Theory and Related Fields, 1994, 98(2): 209–227.

    Article  MathSciNet  MATH  Google Scholar 

  19. Peng S G and Shi Y F, A type of time-symmetric forward-backward stochastic differential equations, Comptes Rendus Mathematique, 2003, 336(9): 773–778.

    Article  MathSciNet  MATH  Google Scholar 

  20. Sun X J and Lu Y, The property for solutions of the multi-dimensional backward doubly stochastic differential equations with jumps, Chinese Journal of Applied Probability and Statistics, 2008, 24(1): 73–82.

    MathSciNet  MATH  Google Scholar 

  21. Han Y C, Peng S G, and Wu Z, Maximum principle for backward doubly stochastic control systems with applications, SIAM Journal on Control and Optimization, 2010, 48(7): 4224–4241.

    Article  MathSciNet  MATH  Google Scholar 

  22. Zhu Q F, Wang X, and Shi Y F, Maximum principles for backward doubly stochastic systems with jumps and applications, Scientia Sinica Mathematica, 2013, 43(12): 1237–1257.

    Article  Google Scholar 

  23. Zhu Q F and Shi Y F, Optimal control of backward doubly stochastic systems with partial information, IEEE Transactions on Automatic Control, 2015, 60(1): 173–178.

    Article  MathSciNet  MATH  Google Scholar 

  24. Xu J and Han Y C, Stochastic maximum principle for delayed backward doubly stochastic control systems, Journal of Nonlinear Sciences & Applications, 2017, 10(1): 215–226.

    Article  MathSciNet  MATH  Google Scholar 

  25. Zhang L Q and Shi Y F, Maximum principle for forward-backward doubly stochastic control systems and applications, ESAIM: Control, Optimisation and Calculus of Variations, 2011, 17(4): 1174–1197.

    MathSciNet  MATH  Google Scholar 

  26. Xiong J, An Introduction to Stochastic Filtering Theory, Oxford University Press on Demand, New York, 2008.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinbiao Wu.

Additional information

This research was supported by the Cultivation Program of Distinguished Young Scholars of Shandong University under Grant No. 2017JQ06, the National Natural Science Foundation of China under Grant Nos. 11671404, 11371374, 61821004, 61633015, the Provincial Natural Science Foundation of Hunan under Grant No. 2017JJ3405.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Wu, J. & Liu, Z. The Optimal Control of Fully-Coupled Forward-Backward Doubly Stochastic Systems Driven by Itô-Lévy Processes. J Syst Sci Complex 32, 997–1018 (2019). https://doi.org/10.1007/s11424-018-7300-z

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-018-7300-z

Keywords

Navigation