Publication
Dynamic threshold computation in fault detection for discrete-time linear systems
Conference Article
Conference
Chinese Control and Decision Conference (CCDC)
Edition
30th
Pages
2241-2246
Doc link
http://dx.doi.org/10.1109/CCDC.2018.8407499
File
Authors
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Liu, Xinyang
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Wang, Zhenhua
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Wang, Ye
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Shen, Yi
Abstract
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 L∞ analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods.
Categories
control theory.
Scientific reference
X. Liu, Z. Wang, Y. Wang and Y. Shen. Dynamic threshold computation in fault detection for discrete-time linear systems, 30th Chinese Control and Decision Conference, 2018, Shenyang, China, pp. 2241-2246.
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