Dynamic Event-Triggered Consensus of General Linear Multi-Agent Systems With Adaptive Strategy

Consensus of multi-agent systems (MASs) with general linear dynamics is investigated. In order to reduce communication frequency and avoid dependence on global information, adaptive event-triggered strategy is applied. A kind of dynamic event-triggered strategy, which is more flexible in giving event-trigger threshold, is proposed. An event-trigger condition based on continuous relative measurement is first designed. Then, the event-trigger condition is improved to only utilize event-triggered information. Sufficient criteria are derived to guarantee consensus. Moreover, it is proved that the designed event-trigger conditions can exclude Zeno behavior. Numerical simulation is performed to verify the effectiveness of the obtained results.

Automated summary

This paper investigates the consensus problem of multi-agent systems (MASs) with general linear dynamics. An adaptive event-triggered strategy is applied to reduce communication frequency and avoid dependence on global information. A dynamic event-triggered strategy, which provides more flexibility in determining the event-trigger threshold, is proposed. The event-trigger condition is designed based on continuous relative measurement and improved to only utilize event-triggered information. Sufficient criteria are derived to guarantee consensus, and it is proven that the designed event-trigger conditions can exclude Zeno behavior. Numerical simulations are conducted to validate the effectiveness of the obtained results.