| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00076 | |
| Number of page(s) | 14 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100076 | |
| Published online | 16 January 2025 | |
Adaptive threshold scheme for fault detection for positive switched systems with parametric uncertainty
Cadi Ayyad University Marrakesh, Morocco
* e-mail: μkenza.telbissi@gmail.com
This paper addresses the challenge of designing a fault detection observer for actuators and sensors in a particular class of positive switched systems, using the average dwell time method. The proposed approach involves the concurrent generation of residuals and a dynamic threshold, enhancing the precision and efficiency of fault detection. Additionally, our work introduces an innovative method for fault detection with parametric uncertainties, outlining sufficient conditions for designing the observer using Linear Programs (LP). The effectiveness of the proposed approach is validated through a numerical simulation.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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