Distributed robust stabilization of linear multi-agent systems with intermittent control

The distributed robust stabilization control problem of multi-agent systems with general linear dynamics is investigated in this paper. The topology of the network is directed and the dynamics of each agent are subject to unknown uncertainties. The control input of the root agent in a spanning tree can utilize its own absolute state intermittently and its neighbors' relative states continuously, while only relative state feedback control inputs are implemented for other nodes. In order to stabilize the whole network, an algorithm to choose systems' parameters is provided and the required length of the intermittent control intervals is also derived by using directed graph theory and Lyapunov stability analysis. Finally, a numerical example is simulated to verify the theoretical results. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.