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Communication Dans Un Congrès Année : 2023

Distributed Interval Observer-based Fault Detection for a class of distributed measurement systems

Danxia Li
  • Fonction : Auteur
Jing Chang
  • Fonction : Auteur
Weisheng Chen
  • Fonction : Auteur

Résumé

This paper focusses on the fault detection problem for uncertain linear system with distributed sensor network. Fault detection method is designed by using of distributed interval observer. The novel distributed interval observer is built, which only uses outputs of each agent and the communication from its neighbors to estimate the upper and lower bounds of the state of whole system. The distributed interval estimation would be able, starting from coordinate transformation and vector rearrangement, to detect the fault by monitoring the unreasonable interval in each agent. The effectiveness of the proposed fault detection strategy has been demonstrated theoretically and numerically
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Dates et versions

hal-04042975 , version 1 (23-03-2023)

Identifiants

  • HAL Id : hal-04042975 , version 1

Citer

Danxia Li, Jing Chang, Weisheng Chen, Jérôme Cieslak. Distributed Interval Observer-based Fault Detection for a class of distributed measurement systems. 9th IEEE International Conference on Control, Automation and Robotics, IEEE, Apr 2023, Beijing, China. ⟨hal-04042975⟩
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