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  • 标题:Performance Analysis of Event-Triggered Control Systems with A Probabilistic Triggering Mechanism: The Scalar Case
  • 本地全文:下载
  • 作者:Burak Demirel ; Alex S. Leong ; Daniel E. Quevedo
  • 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:10084-10089
  • DOI:10.1016/j.ifacol.2017.08.1781
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper considers a linear stochastic control system whose feedback loop is closed over (possibly low-power wireless) communication channels. A probabilistic event-based scheduling rule is adopted to transmit measurements from the sensor to the controller. The controller only computes a new control command whenever a sensor packet arrives at the controller. The event-triggered strategy proposed in this paper aims at providing significant reductions in the usage of both the sensor-to-controller and controller-to-actuator channels. Within this setup, we investigate dead-beat control laws and compute the expected linear-quadratic loss of the closed-loop system. We also provide analytic expressions that quantify the trade-off between the communication cost and the control performance of such event-triggered control systems. This trade-off is demonstrated quantitatively via a numerical example.
  • 关键词:KeywordsEvent-based controlControl under communication constraintsStochastic systems
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