文章基本信息

标题：Consensus analysis of systems with time-varying interactions : An event-triggered approach
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作者：S. Arun Kumar ; N.R. Chowdhury ; S. Srikant 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：9349-9354
DOI：10.1016/j.ifacol.2017.08.1433
语种：English
出版社：Elsevier
摘要：AbstractWe present consensus analysis of systems with single integrator dynamics interacting via time-varying graphs under the event-triggered control paradigm. Event-triggered control sparsifies the control applied, thus reducing the control effort expended. Initially, we consider a multi-agent system with persistently exciting interactions and study the behaviour under the application of event-triggered control with two types of trigger functions-static and dynamictrigger. We show that while in the case of static trigger, the edge-states converge to a ball around the origin, the dynamic trigger function forces the states to reach consensus exponentially. Finally, we extend these results to a more general setting where we consider switching topologies. We show that similar results can be obtained for agents interacting via switching topologies and validate our results by means of simulations.