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Integrated design of observer based fault detection for a class of uncertain nonlinear systems Cover

Integrated design of observer based fault detection for a class of uncertain nonlinear systems

Open Access
|Sep 2011

References

  1. Abbaszadeh, M. and Marquez, H. (2008). LMI optimization approach to robust H∞ filtering for discrete-time nonlinear uncertain systems, Proceedings of the American Control Conference, Washington, DC, USA, pp. 1905-1910.
  2. Basseville, M. and Nikiforov, I.V. (1993). Detection of Abrupt Changes—Theory and Application, Prentice-Hall, Englewood Cliffs, NJ.
  3. Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. (2003). Diagnosis and Fault-Tolerant Control, Springer, New York, NY.10.1007/978-3-662-05344-7
  4. Chen, J. and Patton, R.J. (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston, MA.10.1007/978-1-4615-5149-2
  5. Chen, W. and Saif, M. (2007). Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems, IET Control Theory & Applications 1(6): 1672-1680.10.1049/iet-cta:20060408
  6. de Souza, C.E., Xie, L. and Wang, Y. (1993). H∞ filtering for a class of uncertain nonlinear systems, Systems and Control Letters 20(6): 419426.10.1016/0167-6911(93)90103-D
  7. Ding, S.X. (2008). Model-based Fault Diagnosis Techniques, Springer, Berlin.
  8. Ding, S.X., Frank, P.M., Ding, E.L. and Jeinsch, T. (2000a). A unified approach to the optimization of fault detection systems, International Journal of Adaptive Control and Signal Processing 14(7): 725-745.10.1002/1099-1115(200011)14:7<;725::AID-ACS618>3.0.CO;2-Q
  9. Ding, S.X., Frank, P.M., Ding, E.L. and Jeinsch, T. (2000b). Fault detection system design based on a new trade-off strategy, Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, pp. 4144-4149.
  10. Ding, S.X., Guo, L. and Frank, P.M. (1993). A frequency domain approach to fault detection of uncertain dynamic systems, Proceedings of the 32th IEEE Conference on Decision and Control, San Antonio, TX, USA, pp. 1722-1727.
  11. Edelmayer, A., Bokor, J., Szab, Z. and Szigeti, F. (2004). Input reconstruction by means of system inversion: A geometric approach to fault detection and isolation in nonlinear systems, International Journal of Applied Mathematics and Computer Science 14(2): 189-199.
  12. Ferrari, R., Parisini, T. and Polycarpou, M. (2007). A fault detection and isolation scheme for nonlinear uncertain discretetime systems, Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, LA, USA, pp. 1009-1014.
  13. Frank, P.M. (1994). On-line fault detection in uncertain nonlinear systems using diagnostic observers: A survey, International Journal of Systems Science 25(12): 2129-2154.10.1080/00207729408949341
  14. Frank, P.M. and Ding, S.X. (1997). Survey of robust residual generation and evaluation methods in observer-based fault detection systems, Journal of Process Control 7(6): 403-424.10.1016/S0959-1524(97)00016-4
  15. Hammouri, H., Kinnaert, M. and Yaagoubi, E.H.E. (1999). Observer-based approach to fault detection and isolation for nonlinear systems, IEEE Transactions on Automatic Control 44(10): 1879-1884.10.1109/9.793728
  16. Henry, D. and Zolghadri, A. (2005). Design and analysis of robust residual generators for systems under feedback control, Automatica 41(2): 251-264.10.1016/j.automatica.2004.09.013
  17. Hou, M. and Patton, R.J. (1996). An LMI approach to H-/H∞ fault detection observers, Proceedings of the UKACC International Conference on Control, Exeter, UK, pp. 1710-1715.
  18. Khan, A.Q., Abid, M., Chen, W. and Ding, S.X. (2009). On optimal fault detection of nonlinear systems, Proceedings of the 48th IEEE Conference on Decision and Control, Shanghai, China, pp. 1032-1037.
  19. Lai, T.L. and Shan, J.Z. (1999). Efficient recursive algorithms for detection of abrupt changes in signals and control systems, IEEE Transactions on Automatic Control 44(5): 952-966.10.1109/9.763211
  20. Narasimhan, S., Vachhani, P. and Rengaswamy, R. (2007). New nonlinear residual feedback observer for fault diagnosis in nonlinear systems, Automatica 44(9): 2222-2229.10.1016/j.automatica.2007.12.020
  21. Patton, R.J., Frank, P.M. and Clark, R.N. (2002). Issues of Fault Diagnosis for Dynamic Systems, Springer, Berlin.
  22. Pertew, A.M., Marquez, H.J. and Zhao, Q. (2007). LMI-based sensor fault diagnosis for nonlinear Lipschitz systems, Automatica 43(8): 1464-1469.10.1016/j.automatica.2007.01.015
  23. Qiu, Z. and Gertler, J. (1993). Robust FDI systems and H∞ optimization, Proceedings of the American Control Conference, San Francisco, CA, USA, pp. 1710-1715.
  24. Rajamani, R. (1998). Observers for Lipschitz nonlinear systems, IEEE Transactions on Automatic Control 43(3): 397-401.10.1109/9.661604
  25. Rajamani, R. and Ganguli, A. (2004). Sensor fault diagnostics for a class of non-linear systems using linear matrix inequalities, International Journal of Control 77(10): 920-930.10.1080/00207170412331270523
  26. Shumsky, A. (2007). Redundancy relations for fault diagnosis in nonlinear uncertain systems, International Journal of Applied Mathematics and Computer Science 17(4): 477-489, DOI: 10.2478/v10006-007-0040-1.10.2478/v10006-007-0040-1
  27. Wang, J.L., Yang, G. and Liu, J. (2007). An LMI approach to H_ index and mixed H_/H∞ fault detection observer design, Automatica 43(9): 1656-1665.
  28. Wang, Y., Xie, L. and Souza, C.E. (1992). Robust control of a class of uncertain nonlinear systems, Systems & Control Letters 19(2): 139-149.10.1016/0167-6911(92)90097-C
  29. Xie, L., de Souza, C.E. and Wang, Y. (1996). Robust filtering for a class of discrete-time uncertain nonlinear systems: An H∞ approach, International Journal of Robust and Nonlinear Control 6(4): 297312.10.1002/(SICI)1099-1239(199605)6:4<;297::AID-RNC234>3.0.CO;2-V
  30. Yaz, E. and Azemi, A. (1998). Actuator fault detection and isolation in nonlinear systems using LMIs and LMEs, Proceedings of the American Control Conference, Philadelphia, PA, USA, pp. 1590-1594.
  31. Zhang, P. and Ding, S.X. (2008). An integrated trade-off design of observer based fault detection systems, Automatica 44(7): 1886-1894.10.1016/j.automatica.2007.11.021
  32. Zhang, P., Ding, S.X., Wang, G. and Zhou, D. (2005). Fault detection of linear discrete-time periodic systems, IEEE Transactions on Automatic Control 50(2): 239-244.10.1109/TAC.2004.841933
DOI: https://doi.org/10.2478/v10006-011-0031-0 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 423 - 430
Published on: Sep 22, 2011
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2011 Wei Chen, Abdul Khan, Muhammmad Abid, Steven Ding, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 21 (2011): Issue 3 (September 2011)