Event-triggered cluster consensus for two classes of nonlinear multi-agent systems
Yaping Xia, Jiaxu Ma, Renfei Liu · Transactions of the Institute of Measurement and Control · 2022
This paper investigates the cluster consensus problems of two classes of leader-following nonlinear multi-agent systems (LFNMASs). The event-triggered strategies are applied to solve the problems, which can significantly reduce energy consumption and the frequency of the controller updates. The sufficient conditions are presented to realize the cluster consensus for two classes of LFNMASs. Then, it is proved that the Zeno behavior can be avoided under the proposed event-triggered control strategies. Finally, two numerical examples are given to demonstrate the effectiveness of the theoretical results.