Skip to main content
Log in

A Nonlinear Adaptive Resilient Observer Design for a Class of Lipschitz Systems Using LMI

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

This paper addresses the parameter and state estimation problem in the presence of the observer gain perturbations for Lipschitz systems that are linear in the unknown parameters and nonlinear in the states. A nonlinear adaptive resilient observer is designed, and its stability conditions based on the Lyapunov technique are derived. The gain for this observer is derived systematically using the linear matrix inequality approach. A numerical example and a physical setup are provided to show the effectiveness of the proposed method.

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. G. Bastin, M.R. Gevers, Stable adaptive observers for nonlinear time-varying systems. IEEE Trans. Autom. Control 33, 650–658 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  2. A. Bergen, Power System Analysis (Prentice-Hall, New York 1986)

    Google Scholar 

  3. S. Boyd, L.E. Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory (SIAM, Philadelphia 1994)

    MATH  Google Scholar 

  4. F. Chen, W. Zhang, LMI criteria for robust chaos synchronization of a class of chaotic systems. Nonlinear Anal. 67, 3384–3393 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Y.M. Cho, R. Rajamani, A systematic approach to adaptive observer synthesis for nonlinear systems. IEEE Trans. Autom. Control 42, 534–537 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  6. P. Dorato, Non-fragile controller design: an overview, in Proc. of ACC, pp. 2829–2831 (1998)

    Google Scholar 

  7. D. Famulara, C.T. Abdallah, A. Jadbabaie, P. Domto, W.H. Haddad, Robust non-fragile LQ controllers: the static feedback case, in Proc. of ACC, pp. 1109–1113 (1998)

    Google Scholar 

  8. P. Gahinet, A. Nemirovski, A. Laub, M. Chilai, LMI Control Toolbox User’S Guide (The Mathworks, Natick, 1995)

    Google Scholar 

  9. M. Hasegawa, Robust adaptive observer design based on γ-positive real problem for sensorless Induction-Motor drives. IEEE Trans. Ind. Electron. 53, 76–85 (2006)

    Article  Google Scholar 

  10. IEEE Guide, Test procedures for synchronous machines, IEEE std 115-1995, Part II

  11. P.A. Ioannou, J. Sun, Robust Adaptive Control (Prentice Hall, New York, 1996)

    MATH  Google Scholar 

  12. C.S. Jeong, E.E. Yaz, A. Bahakeem, Y.I. Yaz, Resilient design of observers with general criteria using LMIs, in Proc. of ACC, pp. 111–116 (2006)

    Google Scholar 

  13. C.S. Jeong, E.E. Yaz, Y.I. Yaz, Stochastically resilient design of H observers for discrete-time nonlinear systems, in IEEE Conf. CDC, pp. 1227–1232 (2007)

    Google Scholar 

  14. C.S. Jeong, E.E. Yaz, Y.I. Yaz, Lyapunov-based design of resilient observers for a class of nonlinear systems and general performance criteria, in IEEE Multi-conference on Systems and Control, pp. 942–947 (2008)

    Google Scholar 

  15. J. Jung, K. Hul, H.K. Fathy, J.L. Srein, Optimal robust adaptive observer design for a class of nonlinear systems via an H-infinity approach, in American Control Conf., pp. 3637–3642 (2006)

    Google Scholar 

  16. L.H. Keel, S.P. Bhattacharyya, Robust, fragile, or optimal? IEEE Trans. Autom. Control 42, 1098–1105 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  17. M. Krstic, I. Kanellakopoulos, P. Kokotovic, Nonlinear and Adaptive Control Design (Wiley, New York, 1995)

    Google Scholar 

  18. J. Lofberg, YALMIP: A toolbox for modeling and optimization in MATLAB, in IEEE Int. Symp. Computer Aided Control Syst. Design Conf., pp. 284–289 (2004)

    Google Scholar 

  19. R. Marino, Adaptive observers for single output nonlinear systems. IEEE Trans. Autom. Control 35, 1054–1058 (1990)

    Article  MATH  Google Scholar 

  20. R. Marino, P. Tomei, Global adaptive observers for nonlinear systems via filtered transformations. IEEE Trans. Autom. Control 37, 1239–1245 (1992)

    Article  MathSciNet  Google Scholar 

  21. R. Marino, P. Tomei, Adaptive observers with arbitrary exponential rate of convergence for nonlinear systems. IEEE Trans. Autom. Control 40, 1300–1304 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  22. R. Marino, G.L. Santosuosso, P. Tomei, Robust adaptive observers for nonlinear systems with bounded disturbances. IEEE Trans. Autom. Control 46, 967–972 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  23. A.M. Pertew, H.J. Marquez, Q. Zhao, LMI-based sensor fault diagnosis for nonlinear Lipschitz systems. Automatica 43, 1464–1469 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  24. M. Pourgholi, V.J. Majd, M.R. Aghamohammadi, Montazer–Gaem gas unit synchronous generator’s parameter identification using SSFR tests. Int. J. Math. Models Methods Appl. Sci. 3, 423–431 (2008)

    Google Scholar 

  25. R. Rajamani, J.K. Hedrick, Adaptive observers for active automotive suspensions: theory and experiment. IEEE Trans. Control Syst. Technol. 3, 86–93 (1995)

    Article  Google Scholar 

  26. J. Wang, B. Jiang, P. Shi, Adaptive observer based fault diagnosis for satellite attitude control systems. Int. J. Innov. Comput. Inf. Control 4(8), 1921–1930 (2008)

    Google Scholar 

  27. G.H. Yang, J.L. Wang, Robust non-fragile Kalman filtering for uncertain linear systems. IEEE Trans. Autom. Control 46, 343–348 (2001)

    Article  MATH  Google Scholar 

  28. A. Zemouche, M. Boutayeb, G.I. Bara, Observers for a class of Lipschitz systems with extension to H performance analysis. Syst. Control Lett. 57, 18–27 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vahid Johari Majd.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pourgholi, M., Majd, V.J. A Nonlinear Adaptive Resilient Observer Design for a Class of Lipschitz Systems Using LMI. Circuits Syst Signal Process 30, 1401–1415 (2011). https://doi.org/10.1007/s00034-011-9320-y

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-011-9320-y

Keywords

Navigation