A Distributed Observer for Consensus of Multi-Agent Systems Under Cyber Attack
Jinman Yang, Peng Li · 2023
In this paper, the consensus problem of the leader-following system is addressed by considering the false data injection (FDI) attacks. An integral-based observer induced by nonlinear activation functions is proposed. By suitably choosing the activation function, the proposed observer is able to attenuate the effects of the fault data injection attack and achieve a no-error consensus. The consensus property and the attack rejection feature are analyzed considering both constant and time-varying attacks. It has been proven that the proposed method is able to mitigate the effects of different types of attacks. The effectiveness of the proposed observer is been verified by extensive numerical examples with comparisons to recent methods.