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A Mean-Field Optimal Control for Fully Coupled Forward-Backward Stochastic Control Systems with Lévy Processes

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Abstract

This paper is concerned with a class of mean-field type stochastic optimal control systems, which are governed by fully coupled mean-field forward-backward stochastic differential equations with Teugels martingales associated to Lévy processes. In these systems, the coefficients contain not only the state processes but also their marginal distribution, and the cost function is of mean-field type as well. The necessary and sufficient conditions for such optimal problems are obtained. Furthermore, the applications to the linear quadratic stochastic optimization control problem are investigated.

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References

  1. Peng S G, A general maximum principle for optimal control problems, SIAM Journal on Control and Optimization, 1990, 28: 966–979.

    Article  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

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

    MathSciNet  MATH  Google Scholar 

  4. Shi J and Wu Z, The maximum principle for fully coupled forward-backward stochastic control system, Acta Autom Sin, 2006, 32(2): 161–169.

    MathSciNet  Google Scholar 

  5. Shi J and Wu Z, Maximum principle for fully coupled forward-backward stochastic control system with random jumps and applications to finance, Journal of Systems Science and Complexity, 2010, 23(2): 219–231.

    Article  MathSciNet  Google Scholar 

  6. Tang M N and Zhang Q, Optimal variational principle for backward stochastic control systems associated with Lévy processes, Sci. China Mathematics, 2012, 55(4): 745–761.

    Article  MathSciNet  Google Scholar 

  7. Zhang F, Tang M N, and Meng Q X, Sochastic maximum principle for forward-backward stochastic control systems associated with Lévy processes, Chinese Annals of Mathematics, 2014, 35A(1): 83–100.

    Article  Google Scholar 

  8. Framstad N, Økesendal B, and Sulem A, Sufficient stochastic maximum principle for the optimal control of jump diffusions and applications to finance, Journal of Optimization Theory and Applications, 2004, 121(1): 77–98.

    Article  MathSciNet  Google Scholar 

  9. Lin X and Zhang W, A maximum principle for optimal control of discrete-time stochastic systems with multiplicative noise, IEEE Transactions on Automatic Control, 2015, 60(4): 1121–1126.

    Article  MathSciNet  Google Scholar 

  10. Zhang X, Elliott R J, and Siu T, A stochastic maximum principle for a markov regime-switching jump-diffusion model and its application to finance, SIAM J. Control Optim., 2012, 50(2): 964–990.

    Article  MathSciNet  Google Scholar 

  11. Buckdahn R, Li J, and Peng S, Mean-field backward stochastic differential equations and related partial differential equations, Stochastic Processes and Their Applications, 2009, 119(10): 3133–3154.

    Article  MathSciNet  Google Scholar 

  12. Wang G, Zhang C, and Zhang W, Stochastic maximum principle for mean-field type optimal control with partial information, IEEE Transactions on Automatic Control, 2014, 59(2): 522–528.

    Article  MathSciNet  Google Scholar 

  13. Wang G, Xiao H, and Xing G, An optimal control problem for mean-field forward-backward stochastic differential equation with noisy observation, Automatica, 2017, 86: 104–109.

    Article  MathSciNet  Google Scholar 

  14. Agram N and Røse E E, Optimal control of forward-backward mean-field stochastic delayed systems, Afrika Matematika, 2018, 29: 149–174.

    Article  MathSciNet  Google Scholar 

  15. Wang B C and Zhang J F, Mean field games for large-population multiagent systems with Markov jump parameters, SIAM Journal on Control and Optimization, 2012, 50(4): 2308–2334.

    Article  MathSciNet  Google Scholar 

  16. Kolokoltsov V N and Malafeyev O A, Mean-field-game model of corruption, Dynamic Games & Applications, 2017, 7(1): 34–47.

    Article  MathSciNet  Google Scholar 

  17. Ma H and Liu B, Optimal control problem for risk-sensitive mean-field stochastic delay differential equation with partial information, Asian Journal of Control, 2017, 19(6): 2097–2115.

    Article  MathSciNet  Google Scholar 

  18. Wang G, Wang Y, and Zhang S, An asymmetric information mean-field type linear-quadratic stochastic Stackelberg differential game with one leader and two followers, Optimal Control Applications and Methods, 2020, 41(4): 1034–1051.

    Article  MathSciNet  Google Scholar 

  19. Nualart D and Schoutens W, Chaotic and predictable representations for Lévy processes, Stochastic Processes and Their Applications, 2000, 90(1): 109–122.

    Article  MathSciNet  Google Scholar 

  20. Meng Q X and Tang M N, Necessary and sufficient conditions for optimal control of stochastic systems associated with Lévy processes, Sci. China, Information Sciences, 2009, 52: 1982–1992.

    Article  MathSciNet  Google Scholar 

  21. Tang H B and Wu Z, Stochastic differential equations and stochastic linear quadratic optimal control problem with Lévy Process, Journal of Systems Science and Complexity, 2009, 22(1): 122–136.

    Article  MathSciNet  Google Scholar 

  22. Wang X R and Huang H, Maximum principle for forward-backward stochastic control system driven by Lévy Process, Mathematical Problems in Engineering, 2015, ID 702802, 1–12.

  23. Peng S 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  Google Scholar 

  24. Baghery F, Khelfallah N, Mezerdi B, et al., Fully coupled forward backward stochastic differential equations driven by Lévy processes and application to differential games, Random Operators & Stochastic Equations, 2014, 22(3): 151–161.

    Article  MathSciNet  Google Scholar 

  25. Huang M, Caines P E, and Malhame R P, Large-population cost-coupled LQG problems with nonuniform agents: Individual-mass behavior and decentralized ε-Nash equilibria, IEEE Transactions on Automatic Control, 2007, 52(9): 1560–1571.

    Article  MathSciNet  Google Scholar 

  26. Zhou Q and Ren Y, A mean-field stochastic maximum principle for optimal control of forward-backward stochastic differential equations with jumps via Malliavin calculus, Journal of Applied Mathematics and Physics, 2018, 6(1): 138–154.

    Article  Google Scholar 

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Correspondence to Ying Wang.

Additional information

This research was supported by the Major Basic Research Program of Natural Science Foundation of Shandong Province under Grant No. 2019A01 and the Natural Science Foundation of Shandong Province of China under Grant No. ZR2020MF062.

This paper was recommended for publication by Editor LIU Shujun.

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Huang, Z., Wang, Y. & Wang, X. A Mean-Field Optimal Control for Fully Coupled Forward-Backward Stochastic Control Systems with Lévy Processes. J Syst Sci Complex 35, 205–220 (2022). https://doi.org/10.1007/s11424-021-0077-5

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  • DOI: https://doi.org/10.1007/s11424-021-0077-5

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