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Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model Cover

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

International Journal of Applied Mathematics and Computer Science
Volume 22 (2012): Issue 1 (March 2012)
By: ,   and    
Open Access
|Mar 2012
References

References

  1. Babuska, R. (1998)., Kluwer Academic Publishers, Boston, MA.
    Search in Google Scholar
  2. Boukezzoula, R., Galichet, S. and Folloy, L. (2003). Nonlinear internal model control: Application of inverse model based fuzzy control,(6): 814-829.
    Open DOISearch in Google Scholar
  3. Boukezzoula, R., Galichet, S. and Foulloy, L. (2007). Fuzzy feedback linearizing controller and its equivalence with the fuzzy nonlinear internal model control structure,(2): 233-248, DOI: 10.2478/v10006-007-0021-4.
    Open DOISearch in Google Scholar
  4. Chang, C. and Yeh, Y. (2006). Variance constrained fuzzy control for observer-based T-S fuzzy models with minimizing auxiliary performance index,(1): 59-69.
    Open DOISearch in Google Scholar
  5. Chen, J. and Patton, R. (1999)., Kluwer, Boston, MA.
    Open DOISearch in Google Scholar
  6. Chen, W. and Saif, M. (2010). Fuzzy nonlinear unknown input observer design with fault diagnosis applications,(3): 377-401.
    Open DOISearch in Google Scholar
  7. Christophe, C., Cocquempot, V. and Jiang, B. (2002). Link between highgain observer-based residual and parity space one,, pp. 2100-2105.
    Search in Google Scholar
  8. Ding, X. and Frank, M. (1993). An adaptive observer-based fault detection schme for nonlinear systems,, Australia, pp. 307-312.
    Search in Google Scholar
  9. Edwards, C., Spurgeon, S. and Patton, R. (2000). Sliding mode observers for fault detection and isolation,(2): 541-553.
    Open DOISearch in Google Scholar
  10. Fu, Y., Duan, G. and Song, S. (2004). Design of unknown input observer for linear time-delay systems,(4): 530-535.
    Search in Google Scholar
  11. Gao, H., Zhao, Y. and Chen, T. (2009). H∞ fuzzy control of nonlinear systems under unreliable communication links,(2): 265-278.
    Open DOISearch in Google Scholar
  12. Gao, Z., Jiang, B., Shi, P. and Xu, Y. (2010). Fault accommodation for near space vehicle attitude dynamics via T-S fuzzy models,(11): 4843-4856.
    Search in Google Scholar
  13. Gu, Z., Peng, C. and Tian, E. (2010). Reliable control for a class of discrete-time state-delayed nonlinear systems with stochastic actuators failures,pp. 2475-2480.
    Search in Google Scholar
  14. Guan, Y. and Saif, M. (1991). Novel approach to the design of unknown input observers,(5): 632-635.
    Open DOISearch in Google Scholar
  15. Guo, Y., Jiang, B. and Shi, P. (2010). Delay-dependent adaptive reconfiguration control in the presence of input saturation and actuator faults,(4): 1873-1882.
    Search in Google Scholar
  16. Isermann, R. (2005). Model-based fault detection and diagnosis status and application,(1): 71-85.
    Open DOISearch in Google Scholar
  17. Isermann, R. (2006)., Springer, Berlin.
    Open DOISearch in Google Scholar
  18. Jiang, B., Staroswiecki, M. and Cocquempot, V. (2001). Fault diagnosis for a class of nonlinear systems with unknown paramenters,, pp. 181-186.
    Search in Google Scholar
  19. Jiang, B., Staroswiecki, M. and Cocquempot, V. (2006). Fault accommodation for nonlinear dynamic systems,(9): 1805-1809.
    Open DOISearch in Google Scholar
  20. Jiang, B., Zhang, K. and Shi, P. (2010). Less conservative criteria for fault accommodation of time-varying delay systems using adaptive fault diagnosis observer,(4): 322-334.
    Open DOISearch in Google Scholar
  21. Kabore, R., Othman, S., Mckenna, T. and Hammouri, H. (2000). Observer-based fault diagnosis for a class of nonlinear systems-application to a free radical copolymerization reaction,(9): 787-803.
    Open DOISearch in Google Scholar
  22. Kabore, R. and Wang, H. (2001). Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems,(11): 1805-1810.
    Open DOISearch in Google Scholar
  23. Lendek, Z., Guerra, T., Babuska, R. and Schutter, B. (2010a)., Springer, Berlin.
    Open DOISearch in Google Scholar
  24. Lendek, Z., Lauberb, J. and Guerra, T. (2010b). Adaptive observers for T-S fuzzy systems with unknown polynomial inputs,(1): 2043-2065.
    Open DOISearch in Google Scholar
  25. Nguang, S. and Shi, P. (2003). H∞ fuzzy output feedback control design for nonlinear systems: An LMI approach,(3): 331-340.
    Open DOISearch in Google Scholar
  26. Nguang, S., Shi, P. and Ding, X. (2007). Fault detection for uncertain fuzzy systems: An LMI approach,(6): 1251-1262.
    Open DOISearch in Google Scholar
  27. Pang, H. and Tang, G. (2010). Global robust optimal sliding mode control for a class of nonlinear systems with uncertainties,(6): 2501-2508.
    Search in Google Scholar
  28. Patton, R., Toribiot, C. and Simanit, S. (2001). Robust fault diagnosis in a chemical process using multiple-model approach,, pp. 149-154.
    Search in Google Scholar
  29. Persis, C. and Isidori, A. (2001). A geometric approach to nonlinear fault detection and isolation,(6): 853-865.
    Open DOISearch in Google Scholar
  30. Polycarpou, M. (2001). Fault accommodation of a class of multivariable nonlinear dynamical systems using learing approach,(5): 736-742.
    Open DOISearch in Google Scholar
  31. Seliger, R. and Frank, M. (1991). Fault diagnosis by disturbance decoupled nonlinear observers,, pp. 2248-2253.
    Search in Google Scholar
  32. Shumsky, A. (2007). Redundancy relations for fault diagnosis in nonlinear uncertain systems,(4): 477-489, DOI: 10.2478/v10006-007-0040-1.
    Open DOISearch in Google Scholar
  33. Staroswiecki, M. and Gehin, A. (2001). From control to supervision,(1): 1-11.
    Open DOISearch in Google Scholar
  34. Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control,(2): 116-132.
    Open DOISearch in Google Scholar
  35. Tanaka, K. and Wang, H. (2001)., John Wiley and Sons, New York, NY.
    Search in Google Scholar
  36. Vachtsevanos, G., Lewis, F. and Roemer, F. (2006)., John Wiley and Sons Ltd., Hoboken, NJ.
    Search in Google Scholar
  37. Wu, L., Su, X., Shi, P. and Qiu, J. (2011). Model approximation for discrete-time state-delay systems in the T-S fuzzy framework,(2): 366-378.
    Open DOISearch in Google Scholar
  38. Xie, X., Zhou, D. and Jin, Y. (1999). Strong tracking filter based adaptive generic model control,(4): 337-350.
    Open DOISearch in Google Scholar
  39. Xu, Y., Jiang, B., Tao, G. and Gao, Z. (2011a). Fault accommodation for near space hypersonic vehicle with actuator fault,(5): 2187-2200.
    Search in Google Scholar
  40. Xu, Y., Jiang, B., Tao, G. and Gao, Z. (2011b). Fault tolerant control for a class of nonlinear systems with application to near space vehicle,(3): 655-672.
    Open DOISearch in Google Scholar
  41. Yan, X. and Edwards, C. (2007). Nonlinear robust fault reconstruction and estimation using a sliding mode observer,(9): 1605-1614.
    Open DOISearch in Google Scholar
  42. Yang, Q. (2004)., Ph.D. thesis, Case Western Reserve University, Cleveland, OH.
    Search in Google Scholar
  43. Zhang, K. and Jiang, B. (2010). Dynamic output feedback fault tolerant controller design for Takagi-Sugeno fuzzy systems with actuator faults,(1): 194-201.
    Open DOISearch in Google Scholar
  44. Zhang, K., Jiang, B. and Shi, P. (2009). Fast fault estimation and accommodation for dynamical systems,(2): 337-350.
    Open DOISearch in Google Scholar
  45. Zhang, Y. and Jiang, J. (2008). Bibliographical review on reconfigurable fault-tolerant control systems,(1): 229-252.
    Open DOISearch in Google Scholar
  46. Zhou, S., Lam, J. and Zheng, W. (2007). Control design for fuzzy systems based on relaxed nonquadratic stability and H∞ performance conditions,(2): 188-199.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/v10006-012-0014-9 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 183 - 196
Published on: Mar 22, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
actuator fault estimation,
Takagi-Sugeno fuzzy models,
robust sliding mode observer,
inverse system method
Related subjects:
Mathematics,
Applied mathematics

© 2012 Dezhi Xu, Bin Jiang, Peng Shi, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 22 (2012): Issue 1 (March 2012)
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