Bipartite tracking consensus for multi-agent systems with Lipschitz-Type nonlinear dynamics

Abstract

This study concentrates on the bipartite tracking consensus for Lipschitz-Type multi-agent systems (MASs) in the presence of a single leader. Distributed neighbor-based bipartite tracking consensus algorithms with leader’s control inputs are developed for both the nonzero and zero cases, under which the bipartite tracking consensus is reached. In contrast to the existing works on this topic, the Lipschitz nonlinear agent dynamics are taken into consideration. Additionally, the control inputs of the leader can be nonzero. Numerical simulations are performed to examine the potentials of results.