Skip to main content
Log in

Turnpike Properties for Stochastic Linear-Quadratic Optimal Control Problems

  • Published:
Chinese Annals of Mathematics, Series B Aims and scope Submit manuscript

An Erratum to this article was published on 18 January 2023

This article has been updated

Abstract

This paper analyzes the limiting behavior of stochastic linear-quadratic optimal control problems in finite time-horizon [0, T] as T → ∞. The so-called turnpike properties are established for such problems, under stabilizability condition which is weaker than the controllability, normally imposed in the similar problem for ordinary differential systems. In dealing with the turnpike problem, a crucial issue is to determine the corresponding static optimization problem. Intuitively mimicking the deterministic situations, it seems to be natural to include both the drift and the diffusion expressions of the state equation to be zero as constraints in the static optimization problem. However, this would lead us to a wrong direction. It is found that the correct static problem should contain the diffusion as a part of the objective function, which reveals a deep feature of the stochastic turnpike 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

Change history

References

  1. Ait Rami, M. and Zhou, X. Y., Linear matrix inequalities, Riccati equations, and indefinite stochastic linear quadratic controls, IEEE Trans. Automat. Control, 45, 2000, 1131–1143.

    Article  MATH  Google Scholar 

  2. Breiten, T. and Pfeiffer, L., On the turnpike property and the receding-horizon method for linear-quadratic optimal control problems, SIAM J. Control Optim., 58, 2020, 1077–1102.

    Article  MATH  Google Scholar 

  3. Carlson, D. A., Haurie, A. B. and Leizarowitz, A., Infinite Horizon Optimal Control-Deterministic and Stochastic Systems, 2nd ed., Springer-Verlag, Berlin, 1991.

    Book  MATH  Google Scholar 

  4. Damm, T., Grüne, L., Stieler, M. and Worthmann, K., An exponential turnpike theorem for dissipative discrete time optimal control problems, SIAM J. Control Optim., 52, 2014, 1935–1957.

    Article  MATH  Google Scholar 

  5. Dorfman, R., Samuelson, P. A. and Solow, R. M., Linear Programming and Economics Analysis, McGraw-Hill, New York, 1958.

    MATH  Google Scholar 

  6. Grüne, L. and Guglielmi, R., Turnpike properties and strict dissipativity for discrete time linear quadratic optimal control problems, SIAM J. Control Optim., 56, 2018, 1282–1302.

    Article  MATH  Google Scholar 

  7. Grüne, L. and Guglielmi, R., On the relation between turnpike properties and dissipativity for continuous time linear quadratic optimal control problems, Math. Control Relat. Fields, 11, 2021, 169–188.

    Article  MATH  Google Scholar 

  8. Huang, J., Li, X. and Yong, J., A linear-quadratic optimal control problem for mean-field stochastic differential equations in infinite horizon, Math. Control Relat. Fields, 5, 2015, 97–139.

    Article  MATH  Google Scholar 

  9. Ibañez, A., Optimal control of the Lotka-Volterra system: turnpike property and numerical simulations, J. Biol. Dyn., 11, 2017, 25–41.

    Article  MATH  Google Scholar 

  10. Kalman, R. E., Contributions to the theory of optimal control, Bol. Soc. Mat. Mexicanna, 5, 1960, 102–119.

    Google Scholar 

  11. Li, X., Yong, J. and Zhou, Y., Elements in Control Theory, 2nd ed., High Education Press, Beijing, 2010 (in Chinese).

    Google Scholar 

  12. Liu, F. and Peng, S., On controllability for stochastic control systems when the coefficient is time-variant, J Syst. Soc., 14, 2010, 270–278.

    MATH  Google Scholar 

  13. Lou, H. and Wang, W., Turnpike properties of optimal relaxed control problems, ESAIM Control Optim. Calc. Var., 25, 2019, 74.

    Article  MATH  Google Scholar 

  14. McKenzie, L. W., Turnpike theory, Econometrica, 44, 1976, 841–865.

    Article  MATH  Google Scholar 

  15. von Neumann, J., A model of general economic equilibrium, Rev. Econ. Stud., 13, 1945, 1–9.

    Article  Google Scholar 

  16. Peng, S., Backward stochastic differential equation and exact controllability of stochastic control systems, Progr. Natural Sci. (English Ed.), 4, 1994, 274–284.

    Google Scholar 

  17. Porretta, A. and Zuazua, E., Long time versus steady state optimal control, SIAM J. Control Optim., 51, 2013, 4242–4273.

    Article  MATH  Google Scholar 

  18. Porretta, A. and Zuazua, E., Remarks on long time versus steady state optimal control, Mathematical Paradigms of Climate Science, Springer INdAM, Ser. 15, Springer-Verlag, New York, 2016, 67–89.

    MATH  Google Scholar 

  19. Rawlings, J. B. and Amrit, R., Optimizing process economic performance using model predictive control, Nonlinear Model Predictive Control, (eds L. Magni, D. M. Raimondo and F. Allgöwer), Lecture Notes in Control and Information Science, 384, Springer-Verlag, Berlin, 2009, 119–138.

    MATH  Google Scholar 

  20. Sun, J., Li, X. and Yong J., Open-loop and closed-loop solvabilities for stochastic linear quadratic optimal control problems, SIAM J. Control Optim., 54, 2016, 2274–2308.

    Article  MATH  Google Scholar 

  21. Sun, J. and Yong, J., Stochastic linear quadratic optimal control problems in infinite horizon, Appl. Math. Optim., 78, 2018, 145–183.

    Article  MATH  Google Scholar 

  22. Sun, J. and Yong, J., Stochastic Linear-Quadratic Optimal Control Theory: Open-Loop and Closed-Loop Solutions, SpringerBriefs in Mathematics, Springer-Verlag, Cham, 2020.

    Book  MATH  Google Scholar 

  23. Trélat, E. and Zhang, C, Integral and measure-turnpike properties for infinite-dimensional optimal control systems, Math. Control Signals Syst., 30, 2018, 1–34.

    Article  MATH  Google Scholar 

  24. Trélat, E. and Zuazua, E., The turnpike property in finite-dimensional nonlinear optimal control, J. Differential Equations, 258, 2015, 81–114.

    Article  MATH  Google Scholar 

  25. Wang, Y., Yang, D., Yong, J. and Yu, Z., Exact controllability of linear stochastic differential equations and related problems, Math. Control Relat. Fields, 7, 2017, 305–345.

    Article  MATH  Google Scholar 

  26. Yong, J., Optimization Theory: A Concise Introduction, World Scientific, Singapore, 2018.

    Book  MATH  Google Scholar 

  27. Zaslavski, A. J., Turnpike Properties in the Calculus of Variations and Optimal Control, Nonconvex Optim. Appl., 80, Springer-Verlag, New York, 2006.

    MATH  Google Scholar 

  28. Zaslavski, A. J., Turnpike properties of approximate solutions for discrete-time control systems, Commun. Math. Anal., 11, 2011, 36–45.

    MATH  Google Scholar 

  29. Zaslavski, A. J., Turnpike Conditions in Infinite Dimensional Optimal Control, Springer Optim. Appl., 80, Springer-Verlag, Cham, 2019.

    Book  MATH  Google Scholar 

  30. Zuazua, E., Large time control and turnpike properties for wave equations, Annu. Rev. Control, 44, 2017, 199–210.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the associate editor and the anonymous referees for their suggestive comments, which lead to this improved version of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hanxiao Wang.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 11901280, 12271242, 12201424), Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515010031), Shenzhen Fundamental Research General Program (No. JCYJ20220530112814032) and NSF (No. DMS-1812921).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, J., Wang, H. & Yong, J. Turnpike Properties for Stochastic Linear-Quadratic Optimal Control Problems. Chin. Ann. Math. Ser. B 43, 999–1022 (2022). https://doi.org/10.1007/s11401-022-0374-x

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11401-022-0374-x

Keywords

2000 MR Subject Classification

Navigation