Título:
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Dynamic threshold computation in fault detection for discrete-time linear systems
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Autor/a:
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Liu, X.; Wang, Zhen; Wang, Ye; Shen, Y.
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Otros autores:
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Institut de Robòtica i Informàtica Industrial |
Abstract:
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Abstract:
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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. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Fault detection -L8 analysis -Threshold computation -Zonotopes -Classificació INSPEC::Pattern recognition |
Derechos:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
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