Fully Distributed Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems With Quantized Communication
Qiang Wang, Shifen Li, Wangli He, Weimin Zhong
Abstract
This brief considers fully distributed event-triggered bipartite consensus for linear multi-agent systems (MASs) with quantized information in leader-following network. First, a control strategy integrated of logarithmic quantizer and dynamic event-triggered mechanism (DETM) is proposed. Then, depended on a connected structurally balanced signed graph, a novel fully distributed control law with dynamic coupling gains is well-developed and discussed, under which agents are not required to know a priori knowledge of any global information. Second, by utilizing Lyapunov stability theory, some criteria for bipartite consensus with relative quantized state measurements are derived. Furthermore, it is shown that the Zeno behavior can be eliminated effectively. Finally, numerical studies are given to illustrate the validity of the theoretical findings and the advantage of proposed control strategy.