Skip to main content
Log in

Sliding mode observers for nonlinear models with unbounded noise and measurement uncertainties

  • Published:
Dynamics and Control

Abstract

This work extends the applicability of variable structure observers designed for nonlinear systems in two ways. First, it is proved that these observers using a boundary-layer scheme can be applied to system models described by Ito differential equations, resulting in almost sure and mean square exponential estimation error. Second, the use of variable structure observers is extended to nonlinear measurement models containing disturbance effects. Also, a novel approach for obtaining the required parameters in the observer design is provided. Finally, two examples are given to illustrate the application and favorable convergence properties of these generalizations.

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. D. Bestle and M. Zeitz, “Canonical form observer design for nonlinear time-variable systems,”Int. J. Control, vol. 38, pp. 419–431, 1983.

    Google Scholar 

  2. A. Isidori,Nonlinear Control Systems: An Introduction. Springer-Verlag: Berlin, 1985.

    Google Scholar 

  3. A.J. Krever and W. Respondek, “Nonlinear observer with linearizable error dynamics,”SIAM J. Control Optim., vol. 23, pp. 197–216, 1985.

    Article  Google Scholar 

  4. B.L. Walcott and S.H. Zak, “State observation of nonlinear uncertain dynamical systems,”IEEE Trans. Autom. Contr., vol. 32, pp. 166–170, 1987.

    Article  Google Scholar 

  5. B.L. Walcott, M.J. Corless, and S.H. Zak, “Comparative study of non-linear state-observation technique,”Int. J. Control, vol. 45, pp. 2109–2132, 1987.

    Google Scholar 

  6. W. Baumann and R. Rugh, “Feedback control of non-linear systems by extended linearization,”IEEE Trans. Autom. Contr., vol. 31, pp. 40–47, 1986.

    Article  Google Scholar 

  7. F.E. Thau, “Observing the state of non-linear dynamic systems,”Int. J. Control, vol. 18, pp. 471–479, 1973.

    Google Scholar 

  8. S.R. Kou, D.L. Elliot, and T.J. Tarn, “Exponential observer for nonlinear dynamic systems,”Inform. Control, vol. 29, pp. 204–216, 1975.

    Article  Google Scholar 

  9. M. Vidyasagar, “On the stabilization of nonlinear systems using state detection,”IEEE Trans. Autom. Control, vol. 25, pp. 504–509, 1980.

    Article  Google Scholar 

  10. E. Yaz, “Design of observers for non-linear time-varying systems,”Int. J. Syst. Sci., vol. 19, pp. 583–587, 1988.

    Google Scholar 

  11. T.W. Martin and E. Yaz, “Generalization of a disturbance minimization scheme,” inProc. 8th ACC, Atlanta, GA, 1989, pp. 2580–2585.

  12. E. Yaz and A. Azemi, “Lyapunov-based nonlinear observer design for stochastic systems,” inProc. 29th IEEE Conference on Decision and Control, Honolulu, HI, vol. 1, pp. 218–219, 1990.

  13. E.A. Misawa and J.K. Hedrick, “Nonlinear observers—a state-of-the-art survey,”J. Dynam. Syst. Meas. Cont., vol. 111, pp. 344–352, 1989.

    Google Scholar 

  14. T.C. Gard,Introduction to Stochastic Differential Equations. Marcel Dekker: New York, 1988.

    Google Scholar 

  15. M. Zakai, “On the ultimate boundedness of moments associated with solution of stochastic differential equations,”SIAM J. Control, vol. 5, pp. 588–593, 1967.

    Article  Google Scholar 

  16. A. Ben Israel and T.N.E., Greville,Generalized Inverse Theory and Applications. New York: Wiley, 1974.

    Google Scholar 

  17. A. Ohara and T. Kitamori, “Geometric structures of stable state feedback systems,” inProc. 29th IEEE Conference on Decision and Control, Honolulu, HI, vol. 3, pp. 2494–2499, 1900.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yaz, E., Azemi, A. Sliding mode observers for nonlinear models with unbounded noise and measurement uncertainties. Dynamics and Control 3, 217–235 (1993). https://doi.org/10.1007/BF01972697

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01972697

Keywords

Navigation