Abstract
This paper is to establish a sufficient maximum principle for one kind of stochastic optimal control problem with three types of delays: a discrete delay, a moving-average delay and a noisy memory. The main features of this research include the introduction of a unified adjoint equation and a simple method to get the adjoint process. One kind of optimal consumption problem and its special cases are studied as illustrative examples, for which the adjoint equations are solved with two different approaches and the optimal consumption strategies are obtained.
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Data Availability Statement
The data and the numerical results presented in this work are available to interested readers on reasonable request to the authors.
References
Agram, N., Haadem, S., Øksendal, B., Proske, F.: A maximum principle for infinite horizon delay equations. SIAM J. Math. Anal. 45(4), 2499–2522 (2013)
Agram, N., Øksendal, B.: Infinite horizon optimal control of forward-backward stochastic differential equations with delay. J. Comuput. Appl. Math. 259, 336–349 (2014)
Agram, N., Røse, E.E.: Optimal control of forward-backward mean-field stochastic delayed systems. Afr. Mat. 29, 149–174 (2018)
Chen, L., Wu, Z.: Maximum principle for the stochastic optimal control problem with delay and application. Automatica 46(6), 1074–1080 (2010)
Dahl, K.: Forward-backward stochastic differential equation games with delay and noisy memory. Stoch. Anal. Appl. 38(4), 708–729 (2020)
Dahl, K., Mohammed, S.-E.A., Øksendal, B., Røse, E.E.: Optimal control of systems with noisy memory and BSDEs with Malliavin derivatives. J. Funct. Anal. 271(2), 289–329 (2016)
Deepa, R., Muthukumar, P., Hafayed, M.: Optimal control of nonzero sum game mean-field delayed Markov regime-switching forward-backward system with Lévy processes. Optimal Control Appl. Methods 42(1), 110–125 (2021)
Delavarkhalafi, A., Fatemion Aghda, A.S., Tahmasebi, M.: Maximum principle for infinite horizon optimal control of mean-field backward stochastic systems with delay and noisy memory. Int. J. Control (2020). https://doi.org/10.1080/00207179.2020.1800822
Du, H., Huang, J., Qin, Y.: A stochastic maximum principle for delayed mean-field stochastic differential equations and its applications. IEEE Trans. Autom. Control 58(12), 3212–3217 (2013)
Huang, J., Shi, J.: Maximum principle for optimal control of fully coupled forward-backward stochastic differential delayed equations. ESAIM Control Optim. Calc. Var. 18(4), 1073–1096 (2012)
Kazmerchuk, Y., Swishchuk, A., Wu, J.: A continuous-time GARCH model for stochastic volatility with delay. Can. Appl. Math. Q. 13(2), 123–149 (2005)
Li, N., Wang, G., Wu, Z.: Linear-qudratic optimal control for time-delay stochastic system with recursive utility under full and partial information. Automatica 121, 109169 (2020)
Li, N., Wu, Z.: Maximum principle for anticipated recursive stochastic optimal control problem with delay and Lévy processes. Appl. Math. Ser. B 29(1), 67–85 (2014)
Ma, H.: Infinite horizon optimal control of mean-field forward-backward delayed systems with Poisson jumps. Eur. J. Control 46, 14–22 (2019)
Ma, H., Liu, B.: Optimal control of mean-field jump-diffusion systems with noisy memory. Int. J. Control 92(4), 816–827 (2019)
Meng, Q., Shen, Y.: Optimal control of mean-field jump-diffusion systems with delay: a stochastic maximum principle approach. J. Comuput. Appl. Math. 279, 13–30 (2015)
Mohammed, S.-E.A.: Stochastic Functional Differential Equations. Pitman Advanced Publishing Program, Boston (1984)
Mohammed S.-E.A.: (1998) Stochastic Differential systems with memory: theory, examples and applications. In: Decreusefond L., Øksendal B., Gjerde J., Üstünel A.S. (eds) Stochastic Analysis and Related Topics VI. Progress in Probability, vol. 42. Birkhäuser, Boston, MA
Øksendal, B., Sulem, A.: A maximum principle for optimal control of stochastic systems with delay, with applications to finance. In: Menaldi, J., Rofman, E., Sulem, A. (eds.) Optimal Control and Partial Differential Equations-Innovations and Applications. IOS Press, Amsterdam (2000)
Øksendal, B., Sulem, A., Zhang, T.: Optimal control of stochastic delay equations and time-advanced backward stochastic differential equations. Adv. Appl. Probab. 43(2), 572–596 (2011)
Peng, S., Yang, Z.: Anticipated backward stochastic differential equations. Ann. Probab. 37(3), 877–902 (2009)
Savku, E., Weber, G.W.: A Stochastic maximum principle for a Markov regime-switching jump-diffusion model with delay and an application to finance. J. Optim. Theory Appl. 179, 696–721 (2018)
Shen, Y., Meng, Q., Shi, P.: Maximum principle for mean-field jump-diffusion stochastic delay differential equations and its application to finance. Automatica 50(6), 1565–1579 (2014)
Wu, J., Qian, H.: Optimal control for a zero–sum stochastic differential game with noisy memory under \(g\)–expectation. In: 2018 Chinese Control Conference (2018). https://doi.org/10.23919/ChiCC.2018.8483763
Wu, J., Wang, W., Peng, Y.: Optimal control of fully coupled forward-backward stochastic systems with delay and noisy memory. In: 2017 Chinese Control Conference (2017). https://doi.org/10.23919/ChiCC.2017.8027605
Yong, J., Zhou, X.: Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer, New York (1999)
Yu, Z.: The stochastic maximum principle for optimal control problems of delay systems involving continuous and impulse controls. Automatica 48(10), 2420–2432 (2012)
Zhang, F.: Stochastic maximum principle for optimal control problems involving delayed systems. Sci. China Inform. Sci. 64(1), 119206 (2021)
Zhang, F.: Stochastic maximum principle of mean-field jump-diffusion systems with mixed delays. Syst. Control Lett. 149, 104874 (2021)
Zhang, Q.: Maximum principle for non-zero sum stochastic differential game with discrete and distributed delays. J. Syst. Sci. Complex. 34(2), 572–587 (2021)
Zhang, S., Li, X., **ong, J.: A stochastic maximum principle for partially observed stochastic control systems with delay. Syst. Control Lett. 146, 104812 (2020)
Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grant No. 12171279, the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions under Grant No. 1716009, the Special Funds of Taishan Scholar Project under Grant No. tsqn20161041, and the Colleges and Universities Youth Innovation Technology Program of Shandong Province under Grant No. 2019KJI011.
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Communicated by Mihai Sirbu.
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Zhang, F. Sufficient Maximum Principle for Stochastic Optimal Control Problems with General Delays. J Optim Theory Appl 192, 678–701 (2022). https://doi.org/10.1007/s10957-021-01987-9
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DOI: https://doi.org/10.1007/s10957-021-01987-9