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Robust H-infinity estimation for continuous-time polytopic uncertain systems

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Abstract

The design of full-order robust H-infinity estimators is investigated for continuous-time polytopic uncertain systems. The main purpose is to obtain a stable and proper linear estimator such that the estimation error system remains robustly stable with a prescribed H-infinity attenuation level. Based on a recently proposed H-infinity performance criterion which exhibits a kind of decoupling between die Lyapunov matrix and the system dynamic matrices, a sufficient condition for the existence of the robust estimator is provided in terms of linear matrix inequalities. It is shown that the proposed design strategy allows the use of parameter-dependent Lyapunov functions and hence it is less conservative than earlier results. A numerical example is employed to illustrate the feasibility and advantage of the proposed design.

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References

  1. R. E. Kalman. A new approach to linear filtering and prediction problems [J]. Trans. of the ASME J. of Basic Engineering, 1960,82(1):34–335.

    Google Scholar 

  2. L.H. Xie, W. Y. Yan, L. Li. Design of optimal reduced order filter for unstable discrete time systems [J]. IEE Proc. Control Theory and Applications, 1998,145(5):397–404.

    Article  Google Scholar 

  3. L. H. Xie, W.Y. Yan, Y. C. Soh. Parameterization and optimization of reduced-order filters [J]. IEEE Trans, on Automatic Control, 1999,44(2):418–422.

    Article  MATH  Google Scholar 

  4. X. Zhu, Y. C. Soh, L. H. Xie. Robust Kalman filter design [C] // Proc. of the 39 th IEEE Conf. On Decision and Control. Piscut-away, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 2001:3813–3818.

    Google Scholar 

  5. H. D. Tuan, P. Apkarian, T. Q. Nguyen. Robust and reduced-order filtering: new characterizations and methods [C]// Proc. of the American Control Conf.. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 2000:1327–1331.

    Google Scholar 

  6. H. D. Tuan, P. Apkarian, T. Q. Nguyen. Robust and reduced-order filtering new LMI — based characterizations and methods [J]. IEEE Trans. on Signal Proc., 2001,49(12):2975–2984.

    Article  Google Scholar 

  7. A. V. Savkin, I. R. Petersen. Fixed-order robust filtering for linear uncertain systems [C]// Proc. of the 35 th Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 1996:4800–4801.

    Chapter  Google Scholar 

  8. L. Xie, C. E. de Souza. On robust filtering for linear systems with parameter uncertainty [C]// Proc. of the 34th IEEE Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 1995:2087–2092.

    Google Scholar 

  9. T. H. Lee, W. S. Ra, T. S. Yoon, et al. Robust filtering for linear discrete-time systems with parameter uncertainties: a Krein space estimation approach [C]// Proc. of the 42 nd IEEE Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 2003:1285–1290.

    Google Scholar 

  10. H.Z. Li, M.Y. Fu. An LMI approach to robust Hinf filtering for linear systems [C]// Proc. of the 34 th Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 1995:3608–3613.

    Google Scholar 

  11. Y.S. Lin, J.X. Qian, S.L. Xu. A LMI approach to robust Hinf filtering for discrete-rime systems [C]// Proc. of IEEE Conf. on Control Application. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 2003:230–233.

    Google Scholar 

  12. R. M. Palhares, P. L. D. Peres. Robust filter design with pole constraints for discrete-time systems [J]. J. of the Franklin Institute, 2000,337(6):713–723.

    Article  MATH  Google Scholar 

  13. L.H. Xie, L.L. Hu, D. Zhang, et al. Robust filtering for uncertain discrete-time: An improved LMI approach [C]// Proc. of the 42 nd IEEE Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 2003:906–9911.

    Google Scholar 

  14. H. J. Gao, C. H. Wang. New approaches to robust and filtering for uncertain discrete-time systems [J]. Science In China (Series F), 2003, 46(5):356–370.

    Google Scholar 

  15. J. C. Geromel. Optimal linear filtering under parameter uncertainty [J]. IEEE Trans. on Signal Processing, 1999,47(1):168–175.

    Article  MATH  Google Scholar 

  16. R.M. Palhares, P. L. D. Peres. Robust Hinf filtering design with pole placement constraint via linear matrix inequality [J]. J. of Optimization Theory and Application, 1999,102(2):239–261.

    Article  MATH  Google Scholar 

  17. H.J. Gao, C.H. Wang. Robust state estimation for systems with uncertain parameters [J]. Control and Decision, 2004,19(2): 147–152.

    Google Scholar 

  18. M. C. De Oliveira, J. Bernussou, J. C. Geromel. A new discrete-time robust stability condition [J]. Systems & Control Letters, 1999,37(4):261–265.

    Article  MATH  Google Scholar 

  19. M. C. De Oliveira, J. C. Geromel, J. Bernussou. An LMI optimization approach to multiobjective controller design for discrete-time systems [C]// Proc. of the 38th Conf. on Decision and Control. Piscutaway, NJ, USA: Institute of Electrical and Electronics Engineers Inc., 1999: 3611–3616.

    Google Scholar 

  20. U. Shaked. Improved LMI representations for analysis and the design of continuous-time systems with polytopic type uncertainty [J]. IEEE Trans, on Automatic Control, 2001,46(4):652–656.

    Article  MATH  Google Scholar 

  21. M.C. De Oliveiva, J.C. Gerome, J. Bernussou. Extended Hinf and H2 norm characterizations and controller parameterizations for discrete-time systems [J]. Int. J. Control, 2002,75(7):666- 679.

    Article  Google Scholar 

  22. H. Zhang. Robust LPV control of a magnetic bearing suspension system with a convex optimization approach [D]. Ann Arbor, USA: University of Virginia, 2003.

    Google Scholar 

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This work was supported by the Chinese National Natural Science Foundation (No.60374024) .

Aiguo WU was born in Gong’an County, Hubei Province on September 20, 1980. He received his B. E. degree in Automation in 2002 and M. E. degree in Navigation, Guidance and Control in 2004 from Harbin Institute of Technology . Currently, he is pursuing his Ph. D degree in J the Center for Control Systems and Guidance I Technology at Harbin Institute of Technology. His research interests include robust control and estimation, observer design and descriptor linear systems. E-mail: agwu@163.com, ag.wu@163.com.

Guangren DUAN was born in Heilongjiang Province on April 5,1962. He received his B. S. degree in Applied Mathematics, and both his M. S. and Ph. D. degrees in Control Systems Theory. From 1989 to 1991, he was a post-doctoral researcher at Harbin Institute of Technology, where he became a professor of control systems theory in 1991. Prof. Duan visited the University of Hull, UK, and the University of Sheffield, UK from December 1996 to October 1998, and worked at the Queen’s University of Belfast, UK from October 1998 to October 2002. Since August 2000, he has been elected Specially Employed Professor at Harbin Institute of Technology sponsored by the Cheung Kong Scholars Program of the Chinese government. He is currently the Director of the Center for Control Systems and Guidance Technology at Harbin Institute of Technology. His main research interests include robust control, eigenstructure assignment, descriptor systems, missile autopilot control and magnetic bearing control. E-mail: g.r.duan@hit.edu.cn, grduan@21cn.com.

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Wu, A., Duan, G. Robust H-infinity estimation for continuous-time polytopic uncertain systems. J. Control Theory Appl. 3, 393–398 (2005). https://doi.org/10.1007/s11768-005-0030-5

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  • DOI: https://doi.org/10.1007/s11768-005-0030-5

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