LMI-based sensor fault diagnosis for nonlinear Lipschitz systems

Automatica

Volumn 43, Issue 8, 2007, Pages 1464-1469

  Pertew, A M ^a   Marquez, H J ^a   Zhao, Q ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Dynamic observers; Faults; Lipschitz systems; LMI; Sensors

Indexed keywords

ERROR ANALYSIS; LINEAR MATRIX INEQUALITIES; NONLINEAR SYSTEMS; OPTIMIZATION; SENSORS; VECTORS;

DYNAMIC OBSERVERS; GAIN STRUCTURE; NONLINEAR LIPSCHITZ SYSTEMS;

FAILURE ANALYSIS;

EID: 34347358499     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2007.01.015     Document Type: Article

References (15)

1. Adjallah, K., Maquin, D., & Ragot, J. (1994). Nonlinear observer based fault detection. IEEE Transactions on Automatic Control, 1115-1120.
2. Chen J., and Patton R.J. Robust model-based fault diagnosis for dynamic systems (1999), Kluwer Academic Publishers, Dordrecht
3. Chen R.H., Mingori D.L., and Speyer J.L. Optimal stochastic fault detection filter. Automatica 39 (2003) 377-390
4. Frank P.M. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy-A survey and some new results. Automatica 26 3 (1990) 459-474
5. ∞ control. International Journal of Robust and Nonlinear Control 4 (1994) 421-448
6. Garcia E., and Frank P.M. Deterministic nonlinear observer based approaches to fault diagnosis: A survey. Control Engineering Practice 5 5 (1997) 663-670
7. Hammouri, H., Kinnaret, M., & Elyaagoubi, E. H. (1999). Observer-based approach to fault detection and isolation for nonlinear systems. IEEE Transactions on Automatic Control, 44(10), 1879-1884.
8. Kabore, P., & Wang, H. (2001). Design of fault diagnosis filters and fault-tolerant control for a class of nonlinear systems. IEEE Transactions on Automatic Control, 46(11), 1805-1810.
9. ∞ observer design for lipschitz nonlinear systems. IEEE Transactions on Automatic Control 51 7 (2006) 1211-1216
10. Vemuri, A. (2001). Sensor bias fault diagnosis in a class of nonlinear systems. IEEE Transactions on Automatic Control, 46(6), 949-954.
11. Wang H., Huang Z.J., and Daley S. On the use of adaptive updating rules for actuator and sensor fault diagnosis. Automatica 33 2 (1997) 217-225
12. Willsky A.S. A survey of design methods for failure detection in dynamic systems. Automatica 12 (1976) 601-611
13. Yu D., and Shields D.N. A bilinear fault detection observer. Automatica 32 11 (1996) 1597-1602
14. Zhong M., Ding S.X., Lam J., and Wang H. An LMI approach to design robust fault detection filter for uncertain LTI systems. Automatica 39 3 (2003) 543-550
15. Zhou K., and Doyle J.C. Essentials of robust control (1998), Prentice-Hall, New York