Dynamic threshold computation in fault detection for discrete-time linear systems
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hdl:2117/132118
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Data publicació2018
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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 L8 analysis is proposed. Numerical simulations are given to verify and compare the performance of the proposed methods. © 2018 IEEE.
Descripció
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitacióLiu, 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.
ISBN978-1-5386-1244-6
Versió de l'editorhttps://ieeexplore.ieee.org/document/8407499
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