文章基本信息

标题：Distributed Event-Triggered Subgradient Method for Convex Optimization with a Common Constraint Set
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作者：Yuichi Kajiyama ; Naoki Hayashi ; Shigemasa Takai 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：15319-15324
DOI：10.1016/j.ifacol.2017.08.2449
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes a discrete-time event-triggered subgradient algorithm to minimize a sum of local cost functions under a common constraint set. In the proposed method, each agent sends its state to a neighbor agent based on the edge-based event-triggering mechanism. We consider a consensus-based subgradient algorithm with a projection to the constraint set so that states of all agents asymptotically converge to an optimal solution. Simulation results confirm that the proposed event-triggered subgradient algorithm can effectively reduce the number of communications compared with the time-triggered algorithm.
关键词：Keywordsdistributed optimizationevent-triggered communicationcooperative controlmulti-agent systems