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

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

作     者:Chun Liu Bin Jiang Xiaofan Wang Huiliao Yang Shaorong Xie Chun Liu;Bin Jiang;Xiaofan Wang;Huiliao Yang;Shaorong Xie

作者机构:School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200444 School of Artificial IntelligenceShanghai UniversityShanghai 200444China IEEE College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China College of Energy and Electrical EngineeringHohai UniversityNanjing 210016China School of Computer Engineering and ScienceShanghai UniversityShanghai 200444China 

出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))

年 卷 期:2022年第9卷第6期

页      面:1037-1048页

核心收录:

学科分类:0711[理学-系统科学] 07[理学] 0839[工学-网络空间安全] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基  金: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) 

主  题:Cyberattacks fault-tolerant consensus tracking incipient and abrupt actuator faults nonlinear multi-agent systems unknown input observer 

摘      要: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 ***,a decentralized unknown input observer is established to estimate relative states and actuator ***,the estimated and output neighboring information is combined with distributed fault-tolerant consensus tracking *** 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,*** example verifies the effectiveness of the fault-tolerant consensus tracking algorithm.

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