This work is concerned with the problem of distributed resource allocation in continuous-time setting but with discrete-time communication over infinitely jointly connected and balanced digraphs. We provide a passivity-based perspective for the continuous-time algorithm, based on which an intermittent communication scheme is developed. Particularly, a periodic communication scheme is first derived through analyzing the passivity degradation over output sampling of the distributed dynamics at each node. Then, an asynchronous distributed event-triggered scheme is further developed. The sampled-based event-triggered communication scheme is exempt from Zeno behavior as the minimum inter-event time is lower bounded by the sampling period. The parameters in the proposed algorithm rely only on local information of each individual nodes, which can be designed in a truly distributed fashion
翻译:这项工作与连续时间分配资源分配的问题有关,但与无休止地共同连接和平衡的分布式分布式时间通信问题有关。我们为连续时间算法提供了一个被动的视角,根据这一视角,制定了间歇通信计划。特别是,通过分析每个节点分布式动态的分布式抽样结果的被动性退化,可以得出定期通信计划。然后,进一步发展一个分散式事件错位计划。抽样事件错位通信计划不受Zeno行为的影响,因为取样期对事件错位的最低时间限制较小。拟议算法中的参数仅依赖于每个单个节点的本地信息,这种信息可以真正分布式地设计。