Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis

ABSTRACT This article proposes a fault detection method for continuous‐time Lipschitz nonlinear systems via robust observer design and ellipsoidal analysis. First, an augmented system is established by considering the fault as an auxiliary state vector. Then, an observer is designed using performance, which can be applied to generate robust residuals. Then, a residual evaluation method via ellipsoidal analysis is proposed, which is used to check whether the guaranteed estimations of the fault and residual stay confined inside safe regions. Thus, fault detection is achieved through an assessment of a Boolean expression. Finally, two numerical simulation results are given to show the effectiveness and merit of the proposed approach.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-03-11
DOI
https://doi.org/10.1002/rnc.7918
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis

Tarek Raïssi, Nacim Meslem, Zhenhua Wang, Rui Zhang et al.
1 citations
International Journal of Robust and Nonlinear Control
Fault Detection and Control Systems
1.21
article

Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis

Tarek Raïssi, Nacim Meslem, Zhenhua Wang, Rui Zhang, Yi Shen
article en
1 citations

Abstract

ABSTRACT This article proposes a fault detection method for continuous‐time Lipschitz nonlinear systems via robust observer design and ellipsoidal analysis. First, an augmented system is established by considering the fault as an auxiliary state vector. Then, an observer is designed using performance, which can be applied to generate robust residuals. Then, a residual evaluation method via ellipsoidal analysis is proposed, which is used to check whether the guaranteed estimations of the fault and residual stay confined inside safe regions. Thus, fault detection is achieved through an assessment of a Boolean expression. Finally, two numerical simulation results are given to show the effectiveness and merit of the proposed approach.

International Journal of Robust and Nonlinear ControlVol. 35(11)
Institut polytechnique de Grenoble (FR), Conservatoire National des Arts et Métiers (FR), Centre National de la Recherche Scientifique (FR), Harbin Institute of Technology (CN), GIPSA-Lab (FR), Université Grenoble Alpes (FR)
National Natural Science Foundation of China, Beijing Nova Program
Openalex Percentile: Top 24%
Fault Detection and Control Systems
1.21
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Fault Detection for Lipschitz Nonlinear Systems Using Robust Observer and Ellipsoidal Analysis — Tarek Raïssi, Nacim Meslem, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS