Distributed Fault-Tolerant Consensus Tracking of Multi-Agent Systems Under Cyber-Attacks

Chun Liu; Bin Jiang; Xiaofan Wang; Huiliao Yang; Shaorong Xie

doi:10.1109/JAS.2022.105419

Volume 9 Issue 6

Jun. 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(6): 1037-1048

C. Liu, B. Jiang, X. F. Wang, H. L. Yang, and S. R. Xie, “Distributed fault-tolerant consensus tracking of multi-agent systems under cyber-attacks,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 1037–1048, Jun. 2022. doi: 10.1109/JAS.2022.105419

Citation:

C. Liu, B. Jiang, X. F. Wang, H. L. Yang, and S. R. Xie, “Distributed fault-tolerant consensus tracking of multi-agent systems under cyber-attacks,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 1037–1048, Jun. 2022. doi: 10.1109/JAS.2022.105419

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Distributed Fault-Tolerant Consensus Tracking of Multi-Agent Systems Under Cyber-Attacks

doi: 10.1109/JAS.2022.105419

Chun Liu^{1, 2
,
,},
Bin Jiang^3
,,
Xiaofan Wang^4
,,
Huiliao Yang^5
,,
Shaorong Xie^6
,

1.
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
2.
School of Artificial Intelligence, Shanghai University, Shanghai 200444, China
3.
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
4.
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
5.
College of Energy and Electrical Engineering, Hohai University, Nanjing 210016, China
6.
School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China

Funds: This work was supported by the National Key R&D Program of China (2018AAA0102804), National Natural Science Foundation of China (62020106003, 62103250, 61773201), Fundamental Research Funds for the Central Universities (NC2020002, NP2020103), Shanghai Sailing Program (21YF1414000)

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Author Bio:
Chun Liu received the Ph.D. degree in control theory and engineering from the Nanjing University of Aeronautics and Astronautics in 2020. He is currently a Lecturer with the School of Mechatronic Engineering and Automation and the School of Artificial Intelligence, Shanghai University. His research interests include fault diagnosis and fault tolerant control for multi-agent systems and their applications

Bin Jiang (Fellow, IEEE) received the Ph.D. degree in automatic control from Northeastern University in 1995. He had ever been a Post-Doctoral Fellow, a Research Fellow, an Invited Professor, and a Visiting Professor in Singapore, France, USA, and Canada, respectively. He is currently Chair Professor of Cheung Kong Scholar Program with the Ministry of Education and the Vice President of Nanjing University of Aeronautics and Astronautics. He has authored eight books and over 200 referred international journal papers and conference papers. His current research interests include intelligent fault diagnosis and fault tolerant control and their applications to helicopters, satellites, and high-speed trains. Dr. Jiang was a Recipient of the Second Class Prize of National Natural Science Award of China in 2018. Dr. Jiang is a Fellow of Chinese Association of Automation (CAA). He currently serves as an AE or an Editorial Board Member for a number of journals, such as the IEEE Trans. Cybern., IEEE Trans. Neural Netw. Learn. Syst., J. Frankl. Inst., Neurocomputing, et al. He is a Chair of Control Systems Chapter in IEEE Nanjing Section, a Member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes

Xiaofan Wang (Senior Member, IEEE) received the Ph.D. degree from Southeast University in 1996. He has been a Professor with Shanghai Jiao Tong University (SJTU) since 2002 and a Distinguished Professor of SJTU since 2008. He is now Vice-President of Shanghai University. He received the 2002 National Science Foundation for Distinguished Young Scholars of China, the 2005 GuilleminCauer Best Transactions Paper Award from the IEEE Circuits and Systems Society, the 2008 Distinguished Professor of the Chang Jiang Scholars Program, Ministry of Education, and the 2015 Second Class Prize of the State Natural Science Award. His current research interests include analysis and control of complex dynamical networks. He is currently Vice-Chair of IFAC Coordinating Committee CC5 and Vice-Chair of Systems Engineering Society of China

Huiliao Yang received the B.S. degree and the Ph.D. degree in automatic control from the Nanjing University of Aeronautics and Astronautics in 2012 and 2019, respectively. She is currently an Assistant Professor at College of Energy and Electrical Engineering, Hohai University. Her research interests include fault tolerant cooperative control of multi-agent systems and its application to UAVs

Shaorong Xie received the Ph.D. degree from the Institute of Intelligent Machines, Tianjin University and the Institute of Robotics and Information Automation, Nankai University in 2001. She is Dean of School of Computer Engineering and Science, Director of Engineering Research Center of Marine Intelligent Unmanned System Equipment of the Ministry of Education, and Associate Dean of Unmanned Surface Vehicle Engineering Research Institute at Shanghai University. Her main research areas are intelligent and autonomous robots, including unmanned surface vehicle technology, cooperative control technology of multi-autonomous robots, and intelligent systems
Corresponding author: Chun Liu, e-mail: Chun_Liu@shu.edu.cn
Received Date: 2021-09-13
Accepted Date: 2021-10-17

Available Online: 2022-04-29

Abstract

Abstract

This paper investigates the distributed fault-tolerant consensus tracking problem of nonlinear multi-agent systems with general incipient and abrupt time-varying actuator faults under cyber-attacks. First, a decentralized unknown input observer is established to estimate relative states and actuator faults. Second, the estimated and output neighboring information is combined with distributed fault-tolerant consensus tracking controllers. Criteria of reaching leader-following exponential consensus tracking of multi-agent systems under both connectivity-maintained and connectivity-mixed attacks are derived with average dwelling time, attack frequency, and attack activation rate technique, respectively. Simulation example verifies the effectiveness of the fault-tolerant consensus tracking algorithm.
- Cyberattacks,
- fault-tolerant consensus tracking,
- incipient and abrupt actuator faults,
- nonlinear multi-agent systems,
- unknown input observer

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References(37)

References

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This study attempts to combine network anti-attack and fault-tolerant control technologies effectively
It is a brand-new attempt to address the different types of constraints of self-dynamics in physical hierarchy and maintained/paralyzed links in networked hierarchy
A novel control structure is proposed with the effective combination of local fault/state estimation in decentralized FE and adjacent output information in distributed FCTC

Distributed Fault-Tolerant Consensus Tracking of Multi-Agent Systems Under Cyber-Attacks

doi: 10.1109/JAS.2022.105419

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通讯作者: 陈斌, bchen63@163.com

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