LAUSR

In this article, the command filtered fixed‐time fault‐tolerant control (FTC) problem is investigated for multi‐agent systems (MASs). The considered MASs with nonstrict feedback form are affected by unknown nonlinear functions and sensor faults, which are solved by using the properties of neural networks (NNs). In the design process, in order to avoid the “singularity” and “explosion of complexity” problems, an adaptive command filtered fixed‐time NN fault‐tolerant controller is devised. Based on the Lyapunov stability theory, all output signals of leader and followers in the closed‐loop system are synchronized within fixed time. Finally, the effectiveness of the proposed control scheme is verified by simulation experiments.