Zeno-free event-triggered consensus using sampled data

摘要

This work presents an event-triggered consensus algorithm for multi-agent systems with periodic sampling schemes. Combinational measurement error is employed to reduce the number of events. It is noted that by introducing the periodic sampling scheme, Zeno behaviors can be naturally avoided in both algorithms. The effectiveness of the proposed algorithms are illustrated by simulation examples.