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

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

机构地区：[1]School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444 [2]School of Artificial Intelligence,Shanghai University,Shanghai 200444,China [3]IEEE [4]College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,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

出　　处：《IEEE/CAA Journal of Automatica Sinica》2022年第6期1037-1048,共12页自动化学报（英文版）

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)。

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 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.

关 键 词：Cyberattacks fault-tolerant consensus tracking incipient and abrupt actuator faults nonlinear multi-agent systems unknown input observer 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TP393.08[自动化与计算机技术—控制科学与工程]