Adaptive Dynamic Event-Triggered Bipartite Consensus of Multi-Agent Systems With Intermittent Conmmunication

This paper investigates the bipartite consensus for high-order multi-agent systems. Especially, designed control protocol is assumed to work based on an intermittent framework on account of inevitable factors. Meanwhile, event-triggered strategy and adaptive strategy are applied to decrease the update frequency of control protocol and remove dependence on global information. Additionally, distinct from static event-triggered condition, threshold parameters in proposed dynamic eventtriggered condition is assumed to change dynamically to further reduce the update frequency of control protocol. Based on the graph theory and Lyapunov stability theory, some sufficient criteria are presented to ensure bipartite consensus. What's more, it is demonstrated that the presented dynamic event-triggered condition plays a very effective role in excluding Zeno behavior. Finally, a simulation example is proposed to substantiate the validity of acquired results.