H∞ fault detection filter for a class of discrete-time systems with multiple time delays

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 35, Issue 1, 2002, Pages 359-364

  Jiang, B ^a   Staroswiecki, M ^a   Cocquempot, V ^a  

^a UNIV LILLE   (France)

Author keywords

Discrete time systems; H filter; Robust fault detection; Time delay; Unknown inputs

Indexed keywords

AUTOMATION; DIGITAL CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; NUMERICAL METHODS; TIME DELAY; UNCERTAINTY ANALYSIS;

DETECTION THRESHOLD; DISCRETE - TIME SYSTEMS; FAULT DETECTION FILTER (FDF); MODEL UNCERTAINTIES; MULTIPLE TIME DELAY; PLANT DISTURBANCE; ROBUST FAULT DETECTION; UNKNOWN INPUTS;

FAULT DETECTION;

EID: 84945588475     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00791     Document Type: Conference Paper

References (14)

1. ∞ filtering formulation of robust fault detection. Proc. IFAC Safeprocess. Budapest. pp. 256-261.
2. Chung, W.H. and J.L. Speyer (1998). A game theoretic fault detection filter. IEEE Trans. Automat. Contr 43, 143-161.
3. ∞ filtering approach to robust detection of failure in dynamical systems. Proc. of 33th IEEE CDC. Lake Buena Vista. pp. 3037-3039.
4. Frank, P.M. and X. Ding (1994). Frequency domain approach to optimally robust residual generation and evaluation for model-based fault diagnosis. Automatica 30, 789-804.
5. Gertler, J.J. and M.K. Kunwer (1993). Optimal residual decoupling for robust fault diagnosis. Proc. of International Conference on Fault Diagnosis. Toulouse, France. pp. 436-452.
6. Jiang, B., J.L. Wang and Y.C. Soh (1999). Robust fault diagnosis for a class of linear systems with uncertainty. J. of Guidance, Control and Dynamics, 22, 736-740.
7. Jiang, B., M. Staroswiecki and V. Cocquempot (2001). Robust observer based fault diagnosis for a class of nonlinear systems with uncertainty. Proc. of IEEE CDC. Orlando, USA. pp. 161-166.
8. ∞ detection filter design for state delayed linear systems. Proc. of IFAC World Congress. Beijing. pp. 229-233.
9. Patton, R.J. and J. Chen (1991). Robust fault detection using eigenstructure assignment: A tutorial consideration and some new results. Proc. of the 30th IEEE CDC. England. pp. 2242-2247.
10. ∞ estimation and robust fault detection. Proc. of the ECC'97 (CD-ROM). Brussels, Belgium.
11. ∞ optimization - disturbances and tall fault case. Proc. of the 32th IEEE CDC. San Antonio. pp. 1710-1715.
12. Seliger, R. and P.M. Frank (1991). Fault diagnosis by disturbance decoupled nonlinear observers. Vol. 3. Proc. of IEEE CDC. Brighton. pp. 2248-2253.
13. Shen, L.C. and P.L. Hsu (1998). Robust design of fault isolation observers. Automatica 34, 1421-1429.
14. Staroswiecki, M. and G. Comtet-Varga (2001). Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems. Automatica, 37, 687-699.