This paper investigates the sampled-data consensus problem of general linear multi-agent systems vianew event-based control. Both the leaderless and leader-following consensus problems are considered. Differentfrom the existing results, the state information is assumed to be unknown for each following agent and only therelative output information between neighbouring agents can be measured. A new Kx-functional observer-basedoutput feedback event-based protocol is designed, which may have lower dimension than the full-order and reducedorderobserver. The improved event-based condition bounds each agent’s measurement error by a time-dependentthreshold. Furthermore, the Zeno behavior is excluded by showing that the inter-event time between any twotriggering events is lower bounded by a strictly positive value. Finally, a numerical simulation example is presentedto demonstrate the effectiveness of the proposed control protocols.
This paper investigates the sampled-data consensus problem of general linear multi-agent systems vianew event-based control. Both the leaderless and leader-following consensus problems are considered. Differentfrom the existing results, the state information is assumed to be unknown for each following agent and only therelative output information between neighbouring agents can be measured. A new Kx-functional observer-basedoutput feedback event-based protocol is designed, which may have lower dimension than the full-order and reducedorderobserver. The improved event-based condition bounds each agent’s measurement error by a time-dependentthreshold. Furthermore, the Zeno behavior is excluded by showing that the inter-event time between any twotriggering events is lower bounded by a strictly positive value. Finally, a numerical simulation example is presentedto demonstrate the effectiveness of the proposed control protocols.