An adaptive neural network approach for resilient leader-following consensus control of multi-agent systems under cyber-attacks
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This paper addresses the dynamic neural networks (DNNs) based resilient leader-following consensus control of multi-agent systems (MASs) under unidentified false data injection (FDI) attacks. We have examined generic linear leader-following agents in the conte... ...
