Fault Estimation with Practical Convergence, for Conformable Fractional Systems, Under a Disturbed Lipschitz Condition

This paper investigates an adaptive observer, with a practical convergence, for a generalized class of nonlinear Lipschitz conformable fractional-order systems, enabling simultaneous state and sensor fault reconstruction. While integer-order systems have been extensively studied, the development of observers for fractional-order systems, particularly those employing conformable derivatives, remains a relatively unexplored area. The proposed observer addresses this gap by handling a broader class of nonlinear systems characterized by a modified Lipschitz condition. A numerical example validates the effectiveness of the proposed approach.

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Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10989993
Primary Topic
Control Systems and Identification
Type
article
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article

Fault Estimation with Practical Convergence, for Conformable Fractional Systems, Under a Disturbed Lipschitz Condition

Abdellatif Ben Makhlouf, Omar Naifar, Assaad Jmal
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Control Systems and Identification
article

Fault Estimation with Practical Convergence, for Conformable Fractional Systems, Under a Disturbed Lipschitz Condition

Abdellatif Ben Makhlouf, Omar Naifar, Assaad Jmal
article en

Abstract

This paper investigates an adaptive observer, with a practical convergence, for a generalized class of nonlinear Lipschitz conformable fractional-order systems, enabling simultaneous state and sensor fault reconstruction. While integer-order systems have been extensively studied, the development of observers for fractional-order systems, particularly those employing conformable derivatives, remains a relatively unexplored area. The proposed observer addresses this gap by handling a broader class of nonlinear systems characterized by a modified Lipschitz condition. A numerical example validates the effectiveness of the proposed approach.

University of Sfax (TN), University of Monastir (TN)
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Control Systems and Identification
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