An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

TLDR

Event‑triggered consensus in multiagent systems enables agents to agree on a common quantity while greatly reducing communication and computation demands. This review surveys recent progress in event‑triggered consensus for multiagent systems. The authors first present a basic framework, then survey and analyze key event‑triggered schemes—including event‑based sampling, model‑based, sampled‑data, and self‑triggered approaches—and illustrate their application to microgrid power sharing and multirobot formation control.

Abstract

Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from both theoretical and practical perspectives due to the fact that it enables all agents eventually to reach an agreement upon a common quantity of interest while significantly alleviating utilization of communication and computation resources. This paper aims to provide an overview of recent advances in event-triggered consensus of MASs. First, a basic framework of multiagent event-triggered operational mechanisms is established. Second, representative results and methodologies reported in the literature are reviewed and some in-depth analysis is made on several event-triggered schemes, including event-based sampling schemes, model-based event-triggered schemes, sampled-data-based event-triggered schemes, and self-triggered sampling schemes. Third, two examples are outlined to show applicability of event-triggered consensus in power sharing of microgrids and formation control of multirobot systems, respectively. Finally, some challenging issues on event-triggered consensus are proposed for future research.