An adaptive observer for fault diagnosis in nonlinear discrete-time systems

Proceedings of the American Control Conference

Volumn 3, Issue , 2004, Pages 2463-2468

  Caccavale, Fabrizio ^a   Villani, Luigi ^b  

^a UNIVERSITY OF BASILICATA   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; ADAPTIVE CONTROL SYSTEMS; FAILURE ANALYSIS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; STATE ESTIMATION; UNCERTAIN SYSTEMS;

ADAPTIVE OBSERVERS; DISCRETIZATION; FAULT DIAGNOSIS (FD);

DISCRETE TIME CONTROL SYSTEMS;

EID: 8744239091     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/acc.2004.1383834     Document Type: Conference Paper

References (15)

1. K.J. Åström and B. Wittenmark, Adaptive control (2nd Edition), Addison-Wesley, 1995.
2. F. Caccavale, L. Villani, "Fault Diagnosis for Industrial Robots," in Fault Diagnosis and Fault Tolerance for Mechatronic Systems: Recent Advances, F. Caccavale and L. Villani (Eds.). Springer-Verlag, London, 2002.
3. J. Chen, R.J. Patton, Robust Model Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston, MA, 1999.
4. M.A. Demetriou, M.M. Polycarpou, "Incipient Fault Diagnosis of Dynamical Systems Using Online Approximators," IEEE Transactions on Automatic Control, Vol. 43, pp. 1612-1617, 1998.
5. G. de Vahl Davis, Numerical Methods in Engineering and Science, Allen & Unwin, London, UK, 1986.
6. K. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Networks, Vol. 2, pp. 183-192, 1989.
7. J. Gertler, Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker Inc., New York, NY, 1998.
8. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, Upper Saddle River, NJ, 1998.
9. R.J. Patton, P.M. Frank, R.N. Clark, Issues in Fault Diagnosis for Dynamic Systems, Springer-Verlag, London, UK, 2000.
10. R.J. Patton, F.J. Uppal, C.J. Lopez-Toribio, "Soft Computing Approaches to Fault Diagnosis for Dynamic Systems: A Survey," Preprints of the 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, Budapest, H, 298-311, 2001.
11. M.M. Polycarpou, A.J. Helmicki, "Automated Fault Detection and Accomodation: A Learning Systems Approach," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 25, pp. 1447-1458, 1995.
12. A.B. Trunov, M.M. Polycarpou, "Automated Fault Diagnosis in Nonlinear Multivariable Systems Using a Learning Methodology," IEEE Transactions on Neural Networks, Vol. 11, pp. 91-101, 2000.
13. A. Vemuri, M.M. Polycarpou, "Robust Nonlinear Fault Diagnosis in Input-Output Systems," International Journal of Control, Vol. 68, pp. 343-360, 1996.
14. A.T. Vemuri, "Sensor Bias Fault Diagnosis in a Class of Nonlinear Systems," IEEE Transactions on Automatic Control, Vol. 46, pp. 949-954, 2001.
15. X. Zhang, M.M. Polycarpou, T. Parisini, "A Robust Detection and Isolation Scheme for Abrupt and Incipient Faults in Nonlinear Systems," IEEE Transactions on Automatic Control, Vol. 47, pp. 576-593, 2002.