Distributed Adaptive Consensus via Event-triggered Sampling: An Edge-based Method

Abstract

This paper addresses distributed adaptive consensus control of general linear multiagent systems (MASs) under event-triggered sampling mechanism. We propose a novel edge-based method in which, for each communication link, an adaptive coupling gain channel and a sampling triggering function are co-designed. The benefits are that the proposed method requires neither the global knowledge of the network eigenvalues for gain selection, nor continuously state sampling for control.