Sufficient conditions to fault isolation in nonlinear systems: A geometric approach

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 35, Issue 1, 2002, Pages 323-328

  Join, C ^a   Ponsart, J C ^a   Sauter, D ^a  

^a CENTRE DE RECHERCHE EN AUTOMATIQUE DE NANCY   (France)

Author keywords

Detection; Diagnosis; Geometric approach; Isolation; Nonlinear system

Indexed keywords

AUTOMATION; DIAGNOSIS; ERROR DETECTION; FAULT DETECTION; GEOMETRY; NONLINEAR SYSTEMS;

DIFFERENTIAL GEOMETRIC APPROACH; FAULT DETECTION AND ISOLATION; FAULT ISOLATION; GEOMETRIC APPROACHES; ISOLATION; RESIDUAL GENERATION;

PROBLEM SOLVING;

EID: 84945551429     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00785     Document Type: Conference Paper

References (18)

1. Cassar, J.P., R.G. Litwak, V. Cocquempot and M. Staroswiecki (1994). Approche structurelle de la conception de systèmes de surveillance pour les procédés industriels complexes. Diagnostic et sûreté de fonctionnement 4(2), 179-202.
2. De Persis, C. and A. Isidori (1999). On the problem of residual generation for fault detection in nonlinear systems and some related facts. In: European Control Conference. Karlsruhe - Germany.
3. De Persis, C. and A. Isidori (2000). A geometric approach to nonlinear fault detection and isolation. In: Safeprocess. Budapest - Germany.
4. De Persis, C. and A. Isidori (2001). A geometric approach to nonlinear fault detection and isolation. IEEE Transaction of Automatic Control 46(6), 853-865.
5. Fossard, A.J. and D. Normand-Cyrot (1995). Nonlinear systems. Vol. 1. Chapman & Hall.
6. Frank, P.M. and X. Ding (1997). Survey of robust residual generation and evaluation methods in observer-based fault detection systems. Journal of Process Control 7(6), 403-424.
7. Frank, P.M., S.X. Ding and B. Koppen-Seliger (2000). Observer-based approach to fault detection and isolation for nonlinear systems. In: Safeprocess. Budapest - Germany. pp. 16-27.
8. Gertler, J.J. (1998). Fault detection and diagnosis in engineering systems. Marcel Dekker.
9. Hammouri, H., M. Kinnaert and E.H. El Yaagoubi (1999). Observer based approach to fault detection and isolation for non linear systems. IEEE Transaction of Automatic Control 44(10), 1879-1884.
10. Isidori, A. (1995). Nonlinear control systems. Springer Verlag.
11. Isidori, A., A.J. Krener, C. Gori-Giorgi and S. Monaco (1981). A geometric approach to synthesis of failure detection filters. IEEE Transaction of Automatic Control 26(2), 331-345.
12. Join, C, J-C. Ponsart and D. Sauter (2002). Fault detection and isolation via nonlinear filters. In: 15th IFAC World Congress on Automatic Control. Barcelona - Spain.
13. Massoumnia, M.-A, G.C. Verghese and A.S. Willsky (1989). Failure detection and identification. IEEE Transaction of Automatic Control 34(3), 316-321.
14. Park, J., G. Rizzoni and W. B. Ribbens (1994). On the representation of sensor faults in fault detection filters. Automatica 30(11), 1793-1795.
15. Schreier, G., E.A. Garcia and P.M. Frank (2000). Observer-based residual generation for a class of nonlinear systems. In: Safeprocess. Budapest - Germany. pp. 727-732.
16. Sontag, E. D. (1998). Mathematical control theory. Springer.
17. Staroswiecki, M. and G. Comtet-Varga (2001). Analytical redundancy relations for fault detection and isolation in algebraic systems. Automatica 37, 687-699.
18. Whonam, W.M. (1985). Linear multivariable control: a geometric approach. Springer Verlag.