Distributed Prescribed-Time Observer Design Under Homologous Sensor Attacks

This paper investigates a distributed prescribed-time observer design for a type of multi-agent systems under homologous sensor attacks. First, we design Luenberger-like observers based on attack consensus which can accurately obtain the state of the system at prescribed time. Then, the sufficiency condition and construction algorithm of the observer gain matrix design are given. Compared with the existing results of distributed state estimation under homologous sensor attacks, the observer proposed in this paper does not need to use all data in the time window and the prescribed convergence time is independent of the initial value of the system. Simulation results validate the usefulness of the designed observer.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icarcv63323.2024.10821573
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Distributed Prescribed-Time Observer Design Under Homologous Sensor Attacks

Guobin Fu, Shuai Liu, Ming Zhu
Fault Detection and Control Systems
article

Distributed Prescribed-Time Observer Design Under Homologous Sensor Attacks

Guobin Fu, Shuai Liu, Ming Zhu
article en

Abstract

This paper investigates a distributed prescribed-time observer design for a type of multi-agent systems under homologous sensor attacks. First, we design Luenberger-like observers based on attack consensus which can accurately obtain the state of the system at prescribed time. Then, the sufficiency condition and construction algorithm of the observer gain matrix design are given. Compared with the existing results of distributed state estimation under homologous sensor attacks, the observer proposed in this paper does not need to use all data in the time window and the prescribed convergence time is independent of the initial value of the system. Simulation results validate the usefulness of the designed observer.

Shandong University (CN)
Openalex Percentile: Top 70%
Fault Detection and Control Systems
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