Data Communication Network Based Active Fault-Tolerant Control of Positive Switched Systems

This paper investigates Active Fault Tolerant Control (AFTC) strategies for positive switched systems under Average Dwell Time (ADT) constraints. Employing multiple Lyapunov functions, sufficient conditions are derived. Leveraging these results, two theorems are developed to ensure asymptotic stability of the closed-loop system, accounting for the effects of unknown input. To conclude, a practical example involving a data communication network is presented to demonstrate its effectiveness.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-19
DOI
https://doi.org/10.1051/e3sconf/202568000052/pdf
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
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article

Data Communication Network Based Active Fault-Tolerant Control of Positive Switched Systems

Kenza Telbissi, Samira Elfaiz
Springer Link (Chiba Institute of Technology)
Stability and Control of Uncertain Systems
article

Data Communication Network Based Active Fault-Tolerant Control of Positive Switched Systems

Kenza Telbissi, Samira Elfaiz
article en

Abstract

This paper investigates Active Fault Tolerant Control (AFTC) strategies for positive switched systems under Average Dwell Time (ADT) constraints. Employing multiple Lyapunov functions, sufficient conditions are derived. Leveraging these results, two theorems are developed to ensure asymptotic stability of the closed-loop system, accounting for the effects of unknown input. To conclude, a practical example involving a data communication network is presented to demonstrate its effectiveness.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 38%
Stability and Control of Uncertain Systems
DOISourceOpenAlex
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Data Communication Network Based Active Fault-Tolerant Control of Positive Switched Systems — Kenza Telbissi, Samira Elfaiz · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS