Consensus of multi-agent systems via intermittent event-triggered control
Aihua Hu, Jinde Cao · International Journal of Systems Science · 2016
This paper addresses the consensus issue for multi-agent systems with fixed directed interaction topology, and each agent is supposed to have nonlinear dynamics. By introducing the event-triggered mechanism into intermittent control, suitable consensus protocols are provided, which can save communication resources and reduce the number of control updates. Based on the Lyapunov functional method and stability analysis for switching systems, both centralised and decentralised event-triggered strategies for consensus are proposed. Furthermore, the proof of Zeno behaviour being excluded is given. Finally, some numerical examples are shown to demonstrate the effectiveness of the theoretical results.