Thresholding in Set‐Membership Approaches to Fault Isolation Using the Minkowski Functional

ABSTRACT In the context of model‐based diagnosis of dynamical systems, this article introduces the Minkowski functional as a new analytical thresholding tool for a generic set‐membership approach to FDI. This tool formalizes the threshold computation problem as a function upper‐ and lower‐bounding problem, and provides non‐specific inequalities that can be applied to residual signals for real‐time system analysis. In particular, this article provides two new characterizations of the linear transformation of a smooth convex set based on its Minkowski functional. These results are then illustrated by computing several thresholds to residual signals.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-08-15
DOI
https://doi.org/10.1002/rnc.70122
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Thresholding in Set‐Membership Approaches to Fault Isolation Using the Minkowski Functional

Jean‐Christophe Ponsart, Benoît Marx, Gustave Bainier
International Journal of Robust and Nonlinear Control
Fault Detection and Control Systems
article

Thresholding in Set‐Membership Approaches to Fault Isolation Using the Minkowski Functional

Jean‐Christophe Ponsart, Benoît Marx, Gustave Bainier
article en

Abstract

ABSTRACT In the context of model‐based diagnosis of dynamical systems, this article introduces the Minkowski functional as a new analytical thresholding tool for a generic set‐membership approach to FDI. This tool formalizes the threshold computation problem as a function upper‐ and lower‐bounding problem, and provides non‐specific inequalities that can be applied to residual signals for real‐time system analysis. In particular, this article provides two new characterizations of the linear transformation of a smooth convex set based on its Minkowski functional. These results are then illustrated by computing several thresholds to residual signals.

International Journal of Robust and Nonlinear ControlVol. 36(1)
Centre National de la Recherche Scientifique (FR), Centre de Recherche en Automatique de Nancy (FR), Université de Lorraine (FR)
Openalex Percentile: Top 65%
Fault Detection and Control Systems
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Thresholding in Set‐Membership Approaches to Fault Isolation Using the Minkowski Functional — Jean‐Christophe Ponsart, Benoît Marx, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS