Skip to main content
Log in

Discrete-time Indefinite LQ Control with State and Control Dependent Noises

  • Published:
Journal of Global Optimization Aims and scope Submit manuscript

Abstract

This paper deals with the discrete-time stochastic LQ problem involving state and control dependent noises, whereas the weighting matrices in the cost function are allowed to be indefinite. In this general setting, it is shown that the well-posedness and the attainability of the LQ problem are equivalent. Moreover, a generalized difference Riccati equation is introduced and it is proved that its solvability is necessary and sufficient for the existence of an optimal control which can be either of state feedback or open-loop form. Furthermore, the set of all optimal controls is identified in terms of the solution to the proposed difference Riccati equation.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. M. Ait Rami, X. Chen, J.B. Moore, and X.Y. Zhou. Solvability and asymptotic behavior of generalized Riccati equations arising in indefinite stochastic LQ controls. IEEE Trans. Autom. Contr. AC-46 (2001), 428–440.

    Google Scholar 

  2. M. Ait Rami and X. Y. Zhou. Linear matrix inequalities, Riccati equations, and indefinite stochastic linear quadratic control. IEEE Trans. Autom. Contr. AC-45 (2000), 1131–1143.

    Google Scholar 

  3. A. Albert. Conditions for positive and nonnegative definiteness in terms of pseudo-inverse. SIAM J. Appl. Math. 17 (1969), 434–440.

    Google Scholar 

  4. M. Athans. The matrix minimum principle. Inform. and Contr. 11 (1968), 592–606.

    Google Scholar 

  5. M. Athans. Special issues on linear-quadratic-Gaussian problem, IEEE Trans. Autom. Contr. AC-16 (1971), 527–869.

    Google Scholar 

  6. A. Beghi and D. D'Alessandro. Discrete-time optimal control with control-dependent noise and generalized Riccati difference equations. Automatica 34(8) (1998), 1031–1034.

    Google Scholar 

  7. S. Chen, X. Li and X.Y. Zhou. Stochastic linear quadratic regulators with indefinite control weight costs. SIAM J. Contr. Optim. 36 (1998), 1685–1702.

    Google Scholar 

  8. R. A. Horn and C. R. Johnson. Matrix Analysis. Cambridge University Press, Cambridge, 1990.

    Google Scholar 

  9. R. E. Kalman. Contribution to the theory of optimal control, Bol. Soc. Mat. Mex. 5 (1960), 102–119.

    Google Scholar 

  10. M. Kohlmann and X.Y. Zhou. Relations hip between backward stochastic differential equations and stochastic controls: a linear-quadratic approach. SIAM J. Contr. Optim. 38 (2000), 1392–1407.

    Google Scholar 

  11. R.T. Ku and M. Athans. Further results on the uncertainty threshold principle. IEEE Trans. Autom. Contr. AC-22 (1977), 866–868.

    Google Scholar 

  12. J.B. Moore, X.Y. Zhou and A.E.B. Lim. Discrete time LQG controls with control dependent noise. Syst. Contr. Lett. 36 (1999), 199–206.

    Google Scholar 

  13. R. Penrose. A generalized inverse of matrices. Proc. Cambridge Philos. Soc. 52 (1955), 17–19.

    Google Scholar 

  14. L. Vandenerghe and S. Boyd. Semidefinite programming. SIAM Rev. 38 (1996), 49–95.

    Google Scholar 

  15. J. Yong and X.Y. Zhou. Stochastic Controls: Hamiltonian Systems and HJB Equations. Springer, Berlin, 1999.

    Google Scholar 

  16. X.Y. Zhou and D. Li. Continuous-time mean-variance portfolio selection: a stochastic LQ framework. Appl. Math. Optim. 42 (2000), 19–33.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rami, M.A., Chen, X. & Zhou, X. Discrete-time Indefinite LQ Control with State and Control Dependent Noises. Journal of Global Optimization 23, 245–265 (2002). https://doi.org/10.1023/A:1016578629272

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1016578629272

Navigation