LAUSR

This paper proposes the consensus tracking control problem for a class of uncertain nonlinear multi-agent systems. By using a group of nonnegative functions, an adaptive neural network controller is addressed based on the technique of backstepping. Compared with existing results about uncertain nonlinear multi-agent systems, the advantage of the proposed scheme is that it can ensure the consensus of multi-agent systems within a given accuracy by using two nth-order continuous differentiable functions. Finally, simulation results confirm the correctness of the proposed scheme.