Finite‐time adaptive fuzzy consensus control for nonlinear multi‐agent systems under switching‐directed topologies

Abstract

Summary In this article, a finite‐time adaptive fuzzy consensus control problem is solved for a class of uncertain nonlinear multi‐agent systems (MASs), where the agent of each follower is marked as a non‐strict feedback form. During the control design, a finite‐time fuzzy adaptive controller is obtained by adding power integrator techniques and integrating backstepping design. This presented adaptive fuzzy consensus control scheme can guarantee the closed‐loop system semi‐global finite time bounded. In addition, the tracking error converges to a small neighborhood of the origin with arbitrary switching communication topologies. Finally, the effectiveness for presented control approach can be validated by a simulation example.