Skip to main content
Log in

Almost sure optimality and optimality in probabilityfor stochastic control problems over aninfinite time horizon

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

A pathwise optimality criterion is proposed for stochastic control problems in order toreduce the risk connected with the fluctuations of the cost around its expected value. Thisapproach may be of relevance also in economic applications, where risky situations appearparticularly dangerous. Some examples of applications are examined, in particular for thelinear quadratic Gaussian model.

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. B.D.O. Anderson and J.B. Moore, Linear Optimal Control, Prentice-Hall, New York, 1971.

    Google Scholar 

  2. M. Aoki, Optimization of Stochastic Systems. Topics in Discrete-Time Dynamics, 2nd ed., Economic Theory, Econometrics, and Mathematical Economics, Academic Press, Boston, MA, 1989.

    Google Scholar 

  3. A.V. Asriev and V.I. Rotar, On asymptotic optimality in probability and almost surely in dynamic control, Stochastics and Stochastics Reports 33(1990)1-16.

    Google Scholar 

  4. T.A. Belkina, Yu.M. Kabanov and E.L. Presman, Stochastic linear-quadratic regulator. Optimality almost sure and in probability, Preprint.

  5. R.M. Cox, Stationary and discounted control of diffusion processes, Ph.D. Thesis, Columbia University, 1984.

  6. R.M. Cox and I. Karatzas, Stationary control of Brownian motion in several dimensions, Advances in Applied Probability 17(1985)531-561.

    Google Scholar 

  7. G.B. Di Masi and Yu.M. Kabanov, On sensitive probabilistic criteria in the linear regulator problem with the infinite horizon, in: Stochastic Processes and Optimal Control, ed. A.A. Novikov, TVP, Moscow, 1994.

    Google Scholar 

  8. W.H. Fleming and W.M. McEneaney, Risk-sensitive control on an infinite time horizon, SIAM J. Control and Optimization 33(1995)1881-1915.

    Google Scholar 

  9. W.H. Fleming and R.W. Rishel, Deterministic and Stochastic Optimal Control, Springer, New York, 1975.

    Google Scholar 

  10. W.H. Fleming and H.M. Soner, Controlled Markov Processes and Viscosity Solutions, Springer, New York, 1993.

    Google Scholar 

  11. D. Gale, On optimal development in a multi-sector economy, Rev. Econ. Stud. 34(1967)1-19.

    Google Scholar 

  12. A. Leizarovitz, On almost sure optimization for stochastic control systems, Stochastics 23(1988)85-107.

    Google Scholar 

  13. A. Leizarowitz, Optimal control for diffusions in R d. A min-max max-min formula for the minimal cost growth rate, J. Mathematical Analysis and Applications 149(1990)180-209.

    Google Scholar 

  14. N.Ya. Petrakov and V.I. Rotar, Factor of the Uncertainty and the Control of Economical Systems, Nauka, Moscow, 1985.

    Google Scholar 

  15. E.L. Presman, Optimality almost sure and in probability for stochastic linear-quadratic regulator, Theory of Probability and its Applications 42(1997).

  16. E. Presman, V. Rotar and M. Taksar, Optimality in probability and almost surely. The general scheme and a linear regulator problem, Stochastics and Stochastics Reports 43(1993)127-137.

    Google Scholar 

  17. P. Protter, Stochastic Integration and Differential Equations, Springer, Berlin, 1990.

    Google Scholar 

  18. M. Robin, Long-term average cost control problems for continuous time Markov processes: A survey, Acta Applicandae Mathematicae 1(1983)281-299.

    Google Scholar 

  19. V.I. Rotar, Some remarks about asymptotical optimality, in: Investigation of Stochastic Problems of Controlling of Economical Processes, CEMI AN USSR, Moscow, 1986, pp. 93-116.

    Google Scholar 

  20. J.K. Sengupta and P. Fanchon, Control Theory Methods in Economics, Kluwer Academic, 1997.

  21. R. Tarres, Asymptotic evolution of a stochastic control problem, SIAM J. Control and Optimization 23(1985)614-631.

    Google Scholar 

  22. C.C. Von Weizsäcker, Existence of optimal programs of accumulation for an infinite time horizon, Rev. Econ. Stud. 32(1965)85-164.

    Google Scholar 

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

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dai Pra, P., Di Masi, G. & Trivellato, B. Almost sure optimality and optimality in probabilityfor stochastic control problems over aninfinite time horizon. Annals of Operations Research 88, 161–171 (1999). https://doi.org/10.1023/A:1018974112132

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1018974112132

Keywords

Navigation