首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Scalable Traffic Models for Scheduling of Linear Periodic Event-Triggered Controllers
  • 本地全文:下载
  • 作者:Gabriel de A. Gleizer ; Manuel Mazo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:2726-2732
  • DOI:10.1016/j.ifacol.2020.12.2525
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper addresses the problem of modeling and scheduling the transmissions generated by multiple event-triggered control (ETC) loops sharing a network. We present a method to build a finite-state similar model of the traffic generated by periodic ETC (PETC), which by construction mitigates the combinatorial explosion that is typical of symbolic models. The model is augmented with early triggering actions that can be used by a scheduler. The complete networked control system is then modeled as a network of timed game automata, for which existing tools can generate strategies that avoids communication conflicts, while keeping early triggers to a minimum. Our proposed model is relatively fast to build and is the first to constitute an exact simulation. Finally, we demonstrate modeling and scheduling for a numerical example.
  • 关键词:KeywordsControl systemsdigital controllinear systemsevent-triggered controlnetworked control systemsformal methodsscheduling
国家哲学社会科学文献中心版权所有