Non-homogeneous stochastic linear-quadratic optimal control problems with multidimensional state and regime switching

Yuyang Chen , Peng Luo

Probability, Uncertainty and Quantitative Risk ›› 2025, Vol. 10 ›› Issue (1) : 13 -30.

PDF (437KB)
Probability, Uncertainty and Quantitative Risk ›› 2025, Vol. 10 ›› Issue (1) : 13 -30. DOI: 10.3934/puqr.2025002

Non-homogeneous stochastic linear-quadratic optimal control problems with multidimensional state and regime switching

Author information +
History +
PDF (437KB)

Abstract

In this paper, we explore non-homogeneous stochastic linear-quadratic (LQ) optimal control problems with multidimensional states and regime switching. We focus on the corresponding stochastic Riccati equation (SRE), which mirrors that of the homogeneous stochastic LQ optimal control problem, and the adjoint backward stochastic differential equation (BSDE), which arises from the non-homogeneous terms in the state equation and cost functional. We solve both the SRE and adjoint BSDE using the contraction mapping method, which helps represent the closed-loop optimal control and the optimal value of our problems. In particular, we extend some results of Hu et al. [7] to the multidimensional case.

Keywords

Non-homogeneous stochastic LQ problem / Regime switching / Multidimensional state / BSDE / Unbounded coefficients

Cite this article

Download citation ▾
Yuyang Chen, Peng Luo. Non-homogeneous stochastic linear-quadratic optimal control problems with multidimensional state and regime switching. Probability, Uncertainty and Quantitative Risk, 2025, 10(1): 13-30 DOI:10.3934/puqr.2025002

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgements

Financial support from the National Natural Science Foundation of China (Grant Nos. 12101400 and 12326603) is gratefully acknowledged. The authors would like to thank the editor and reviewer for their valuable comments and suggestions.

References

[1]

Bismut, J. M., Linear quadratic optimal stochastic control with random coefficients, SIAM Journal on Control and Optimization, 1976, 14(3): 419-444.

[2]

Chen, Y. and Luo, P., Stochastic linear-quadratic optimal control problems with non Markovian regime switching, arXiv: 2303.17256, 2023.

[3]

Delbaen, F. and Tang, S., Harmonic analysis of stochastic equations and backward stochastic differential equations, Probability Theory and Related Fields, 2010, 146(1): 291-336.

[4]

Horn, R. A. and Johnson, C. R., Matrix Analysis, Cambridge University Press, New York, 2012.

[5]

Hu, Y. and Øksendal, B., Partial information linear quadratic control for jump diffusions, SIAM Journal on Control and Optimization, 2008, 47(4): 1744-1761.

[6]

Hu, Y., Shi, X. and Xu, Z. Q., Constrained stochastic LQ control with regime switching and application to portfolio selection, The Annals of Applied Probability, 2022, 32(1): 426-460.

[7]

Hu, Y., Shi, X. and Xu, Z. Q., Non-homogeneous stochastic LQ control with regime switching and random coefficients, Mathematical Control and Related Fields, 2024, 14(2): 671-694.

[8]

Kohlmann, M. and Tang, S., New developments in backward stochastic Riccati equations and their applications, In: KohlmannM. and TangS.( Mathematical Finance:eds.), Trends in Mathematics, Birkhäuser, Basel, 2001: 194-214.

[9]

Kohlmann, M. and Tang, S., Global adapted solution of one-dimensional backward stochastic Riccati equations, with application to the mean-variance hedging, Stochastic Processes and their Applications, 2002, 97(2): 255-288.

[10]

Kohlmann, M. and Tang, S., Minimization of risk and linear quadratic optimal control theory, SIAM Journal on Control and Optimization, 2003, 42(3): 1118-1142.

[11]

Kohlmann, M. and Tang, S., Multidimensional backward stochastic Riccati equations and applications, SIAM Journal on Control and Optimization, 2003, 41(6): 1696-1721.

[12]

Li, N., Wu, Z. and Yu, Z., Indefinite stochastic linear-quadratic optimal control problems with random jumps and related stochastic Riccati equations, Science China Mathematics, 2018, 61: 563-576.

[13]

Li, X. and Zhou, X. Y., Indefinite stochastic LQ controls with Markovian jumps in a finite time horizon, Communications in Information and Systems, 2002, 2(3): 265-282.

[14]

Li, X., Zhou, X. Y. and Ait Rami, M., Indefinite stochastic linear quadratic control with Markovian jumps in infinite time horizon, Journal of Global Optimization, 2003, 27: 149-175.

[15]

Liu, Y., Yin, G. and Zhou, X. Y., Near-optimal controls of random-switching LQ problems with indefinite control weight costs, Automatica, 2005, 41(6): 1063-1070.

[16]

Q., Well-posedness of stochastic Riccati equations and closed-loop solvability for stochastic linear quadratic optimal control problems, Journal of Differential Equations, 2019, 267(1): 180-227.

[17]

Peng, S., Stochastic Hamilton-Jacobi-Bellman equations, SIAM Journal on Control and Optimization, 1992, 30(2): 284-304.

[18]

Shen, Y., Wei, J. and Zhao, Q., Mean-variance asset-liability management problem under non-Markovian regime-switching models, Applied Mathematics & Optimization, 2020, 81: 859-897.

[19]

Sun, J. and Yong, J., Linear quadratic stochastic differential games: Open-loop and closed-loop saddle points, SIAM Journal on Control and Optimization, 2014, 52(6): 4082-4121.

[20]

Sun, J., Li, X. and Yong, J., Open-loop and closed-loop solvabilities for stochastic linear quadratic optimal control problems, SIAM Journal on Control and Optimization, 2016, 54(5): 2274-2308.

[21]

Sun, J., Xiong, J. and Yong, J., Indefinite stochastic linear-quadratic optimal control problems with random coefficients: Closed-loop representation of open-loop optimal controls, The Annals of Applied Probability, 2021, 31(1): 460-499.

[22]

Tang, S., General linear quadratic optimal stochastic control problems with random coefficients: Linear stochastic Hamilton systems and backward stochastic Riccati equations, SIAM Journal on Control and Optimization, 2003, 42(1): 53-75.

[23]

Wen, J., Li, X., Xiong, J. and Zhang, X., Stochastic linear-quadratic optimal control problems with random coefficients and Markovian regime switching system, SIAM Journal on Control and Optimization, 2023, 61(2): 949-979.

[24]

Wonham, W. M., Optimal stationary control of a linear system with state-dependent noise, SIAM Journal on Control, 1967, 5(3): 486-500.

[25]

Wonham, W. M., On a matrix Riccati equation of stochastic control, SIAM Journal on Control, 1968, 6(4): 681-697.

[26]

Wu, Z. and Wang, X. R., FBSDE with Poisson process and its application to linear quadratic stochastic optimal control problem with random jumps, Acta Automatica Sinica, 2003, 29(6): 821-826.

[27]

Xie, S., Continuous-time mean-variance portfolio selection with liability and regime switching, Insurance: Mathematics and Economics, 2009, 45(1): 148-155.

[28]

Yin, G. and Zhou, X. Y., Markowitz’s mean-variance portfolio selection with regime switching: From discrete-time models to their continuous-time limits, IEEE Transactions on Automatic Control, 2004, 49(3): 349-360.

[29]

Yu, Z., Infinite horizon jump-diffusion forward-backward stochastic differential equations and their application to backward linear-quadratic problems, ESAIM: Control, Optimisation and Calculus of Variations, 2017, 23(4): 1331-1359.

[30]

Zhang, X., Li, X. and Xiong, J., Open-loop and closed-loop solvabilities for stochastic linear quadratic optimal control problems of Markovian regime switching system, ESAIM: Control, Optimisation and Calculus of Variations, 2021, 27: 69.

[31]

Zhou, X. Y. and Yin, G., Markowitz’s mean-variance portfolio selection with regime switching: A continuous-time model, SIAM Journal on Control and Optimization, 2003, 42(4): 1466-1482.

AI Summary AI Mindmap
PDF (437KB)

421

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/