Observer-based node-to-node consensus of multi-agent systems with intermittent networks

Abstract

In this paper, we investigate the problem of achieving node-to-node consensus (NNC) in two-layer multiple-input-multiple-output (MIMO) multi-agent systems (MASs) with Lipschitz nonlinear dynamics and intermittent directed networks, where the cooperative goal is to make each follower to track a specified leader. By using the relative outputs, discontinuous observers are given to reconstruct the full states of followers and then feedback controllers are designed. Furthermore, some NNC criteria are given by investigating stability of the error system. To verify the obtained results, a simulation is performed.