A New BRB-Based Fault Diagnosis Method for Leader-Following Multi-Agent Systems with Communication Interferences
This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences based on belief rule base (BRB). By designing a sliding mode controller, the system's consistency under communication interferences is a...
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Published in | 2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA) pp. 302 - 307 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
10.05.2024
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/FASTA61401.2024.10595165 |
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Abstract | This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences based on belief rule base (BRB). By designing a sliding mode controller, the system's consistency under communication interferences is achieved. Then a novel BRB-based fault diagnosis method is proposed to diagnose faults in MASs, and the faulty agents can be diagnosed accurately. Ultimately, the effectiveness of the proposed method is verified by simulation studies. |
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AbstractList | This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences based on belief rule base (BRB). By designing a sliding mode controller, the system's consistency under communication interferences is achieved. Then a novel BRB-based fault diagnosis method is proposed to diagnose faults in MASs, and the faulty agents can be diagnosed accurately. Ultimately, the effectiveness of the proposed method is verified by simulation studies. |
Author | Yang, Ruohan Ji, Wenqiang Wang, Ziyi |
Author_xml | – sequence: 1 givenname: Ziyi surname: Wang fullname: Wang, Ziyi email: wangziyi990719@163.com organization: Hebei University of Technology,School of Artificial Intelligence,Tianjin,P. R. China,300401 – sequence: 2 givenname: Wenqiang surname: Ji fullname: Ji, Wenqiang email: wqji@hebut.edu.cn organization: Hebei University of Technology,School of Artificial Intelligence,Tianjin,P. R. China,300401 – sequence: 3 givenname: Ruohan surname: Yang fullname: Yang, Ruohan email: ruohanyang@nwpu.edu.cn organization: Northwestern PolytechnicalUniversity,School of Electronics And Information,Xi'an,P. R. China,710072 |
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Snippet | This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences... |
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StartPage | 302 |
SubjectTerms | Actuators Belief rule base (BRB) Fault diagnosis Multi-agent systems Multi-agent systems (MASs) Sliding mode control |
Title | A New BRB-Based Fault Diagnosis Method for Leader-Following Multi-Agent Systems with Communication Interferences |
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