Fuzzy Adaptive Dynamic Event Triggered Output Feedback Consensus Control for MASs Under FDI Attacks

This article considers the issue of fuzzy adaptive dynamic event triggered output feedback consensus control for nonlinear multiagent systems (MASs) suffered from stochastic false data injection attacks. First, fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear functions. By estimating the unknown attack signals, a novel fuzzy state observer is proposed. Based on the fuzzy state observer, a robust adaptive fuzzy secured dynamic event triggered control method is developed, where the dynamic surface control technique (DSC) is used to solve the computational complexity problem in backstepping design. The proposed control method ensures that each agent can observe system’s states well, the consensus tracking errors and output tracking errors converge to a small neighborhood of the origin, and all signals in the closed-loop system keep bounded. Finally, simulation results are provided to verify the effectiveness of the proposed control method.