Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer

Abstract : The proposed fault diagnosis approach associates an adaptive observer for residual generation with set-membership computations based on zonotopes for residual evaluation. The main advantage of this approach is its rigorous propagation of pre-specified modeling uncertainty bounds to the computed residuals. Within the assumed modeling uncertainty bounds, fault detection is guaranteed to be free of false alarm, while the efforts made with set-membership computation minimize the conservativeness of fault detection decisions. The novelty compared to earlier works mainly resides in a guaranteed robustness to bounded parameter variations and in a method for dealing with occasional lack of input excitation.
Type de document :
Communication dans un congrès
17th IFAC World Congress, Jul 2008, Seoul, South Korea. 17 Part 1, pp.7314-7319, 2008, 〈10.3182/20080706-5-KR-1001.01237〉
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https://hal.inria.fr/hal-00854789
Contributeur : Qinghua Zhang <>
Soumis le : mercredi 28 août 2013 - 10:42:04
Dernière modification le : mercredi 29 novembre 2017 - 01:10:39

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Christophe Combastel, Qinghua Zhang, Abdelhalim Lalami. Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer. 17th IFAC World Congress, Jul 2008, Seoul, South Korea. 17 Part 1, pp.7314-7319, 2008, 〈10.3182/20080706-5-KR-1001.01237〉. 〈hal-00854789〉

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