Dynamic Event-Triggered Consensus Control for Input Constrained Multi-Agent Systems with a Designable Minimum Inter-Event Time
Meilin Li, Yue Long, Tieshan Li, Hongjing Liang, C. L. Philip Chen
Abstract
This paper investigates the consensus control of multi-agent systems (MASs) with constrained input using the dynamic event-triggered mechanism (ETM). Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first designed. Then, a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale networks. It is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phenomenon is eliminated by a designable minimum inter-event time. In addition, it is easier to find a trade-off between the convergence rate and the minimum inter-event time by an adjustable parameter. Furthermore, the results are extended to regional consensus of the MASs with the bounded control protocol. Numerical simulations show the effectiveness of the proposed approach.