Dynamic threshold computation in fault detection for discrete-time linear systems
Document typeConference report
Rights accessOpen Access
This paper studies threshold computation in observer-based fault detection for discrete-time linear systems subject to unknown but bounded uncertainties. Based on two different assumptions on uncertainties, we propose two threshold computation methods for residual evaluation. First, we assume that the uncertainties are bounded in known intervals and propose a zonotope-based threshold computation method. Second, the uncertainties are assumed to be norm-bounded and then a threshold computation method using L8 analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods. © 2018 IEEE.
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CitationLiu, X. [et al.]. Dynamic threshold computation in fault detection for discrete-time linear systems. A: Chinese Control and Decision Conference. "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018". 2018, p. 2241-2246.