LAUSR

This study considers the finite time consensus tracking problems for second-order non-linear multi-agent system with the unknown dynamics. Firstly, the radial basis function neural networks are utilised to approximate the lumped unknown dynamic model. And then, to achieve the finite-time consensus tracking, a distributed non-singular fast terminal sliding mode control strategy is designed which can speed up the convergence of the multi-agent system. Moreover, the consistency under the proposed control strategy is theoretically analysed and the upper bound of setting time is explicitly obtained. Finally, two simulation examples are provided.