Dynamic Event-Triggered Consensus of Nonlinear Lur'e Networks With Directed Switching Topologies

For networked agents with Lur'e-type nonlinear dynamics, this brief studies dynamic event-triggered consensus control over switching digraphs. To lengthen the time interval between two succession events and improve the efficiency of communication actions, a dynamic event-triggered strategy is proposed by introducing a dynamic variable that can be dynamically adjusted according to the consensus level. Then, a consensus controller is designed based on the triggered state information such that the multi-agent systems (MASs) with the Lur'e nonlinearity can successfully attain consensus over directed switching topologies, meanwhile maintaining satisfactory and efficient resource consumption. Moreover, for the reliability of proposed strategy, consensus stability analysis and Zeno behavior exclusion are presented. Finally, the simulation on Chua's circuit is carried out to illustrate the effectiveness of the studied strategy.