Guaranteed active failure detection and isolation for linear dynamical systems

Automatica

Volumn 34, Issue 11, 1998, Pages 1345-1358

  Nikoukhah, Ramine ^a  

^a INRIA   (France)

Author keywords

Active detection; Bounded perturbations; Failure detection; Failure isolation; Linear programming

Indexed keywords

FAILURE ANALYSIS; LINEAR PROGRAMMING; PERTURBATION TECHNIQUES;

FAILURE DETECTION; FAILURE ISOLATION; LINEAR DYNAMICAL SYSTEMS;

CONTROL SYSTEM ANALYSIS;

EID: 0032203798     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(98)00079-X     Document Type: Article

References (20)

1. Basseville, M. and Benveniste, A., eds (1985). Detection of abrupt changes in signals and dynamical systems. Lecture Notes in Control and Information Science, Vol. 77. Springer, Berline.
2. Broman, V. and Shensa, M. J. (1990). A compact algorithm for the intersection and approximation of N-dimensional polytopes. Math. Comput. Simulation, 32, 469-480.
3. Dantzig, G. B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton, NJ.
4. Levy, B. C., Benveniste, A. and Nikoukhah, R. (1996). High-level primitives for recursive maximum likelihood estimation. IEEE Trans. Automat. Control, AC-41, 1125-1145.
5. Kerestecioǧlu, F. (1993). Change Detection and Input Design in Dynamical Systems. Research Studies Press, Taunton, U.K.
6. Kerestecioǧlu, F. and Zarrop, M. B. (1994). Input design for detection of abrupt changes in dynamical systems. Int. J. Control, 59, 1063-1084.
7. Milanese, M. and Vicino, A. (1991). Optimal estimation theory for dynamic systems with set membership uncertainty: an overview. Automatisa, 27, 997-1009.
8. Mo, S. H. and Norton, J. P. (1990). Fast and robust algorithm to compute exact polytope parameter bounds. Math. Comput. Simulation, 32, 481-493.
9. Murty, K. (1983). Linear and Combinatorial Programming. Wiley, New York.
10. Nikoukhah, R., Taylor, D., Levy, B. C. and Willsky, A. S. (1995). Graph structure and recursive estimation of noisy relations. J. Math. System Estimat. Control, 5, 4-16 (summary). Full paper available via ftp from the publisher.
11. Patton, R. J., Frank, P. M. and Clark, R. N. (1989). Fault Diagnosis in Dynamic Systems. Prentice-Hall, London.
12. Piet-Lahanier, H. and Walter, E. (1990). Exact recursive characterization of feasible parameter sets in linear case. Math. Comput. Simulation, 32, 495-504.
13. Rockafellar, R. T. (1970). Convex Analysis. Princeton University Press, Princeton, NJ.
14. Uosaki, K, Tanaka, I. and Sugiyama, H. (1984). Optimal input design for autoregressive model discrimination with constrained output variance. IEEE Trans. Automat. Control, AC-29, 348-350.
15. Vicino, A. and Zappa, G. (1996). Sequential approximation of feasible parameter sets for identification with set membership uncertainty. IEEE Trans. Automat. Control, AC-41, 774-785.
16. Walter, E. and Piet-Lahanier, H. (1990). Estimation of parameter bounds from bounded-error data: a survey. Math. Comput. Simulation, 32, 449-468.
17. Walter, E. and Piet-Lahanier, H. (1989). Exact recursive polyhedral description of the feasible parameter set for bounded-error models. IEEE Trans. Automat. Control, AC-34, 911-915.
18. Wilde, D. K. (1993). A library for doing polyhedral operations. IRISA Report, Vol. 785.
19. Willsky, A. S. (1976). A survey of design methods for failure detection in dynamics systems. Automatisa, 12, 601-611.
20. Zhang, X. J. (1989). Auxiliary Signal Design in Fault Detection and Diagnosis. Springer, Heidelberg.