Computing the sampling performance of event-triggered control

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Abstract

In the context of networked control systems, event-triggered control (ETC) has emerged as a major topic due to its alleged resource usage reduction capabilities. However, this is mainly supported by numerical simulations, and very little is formally known about the traffic generated by ETC. This work devises a method to estimate, and in some cases to determine exactly, the minimum average inter-sample time (MAIST) generated by periodic event-triggered control (PETC) of linear systems. The method involves abstracting the traffic model using a bisimulation refinement algorithm and finding the cycle of minimum average length in the graph associated to it. This always gives a lower bound to the actual MAIST. Moreover, if this cycle turns out to be related to a periodic solution of the closed-loop PETC system, the performance metric is exact.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Hybrid Systems (HSCC 2021)
Subtitle of host publicationComputation and Control (part of CPS-IoT Week)
PublisherAssociation for Computing Machinery (ACM)
Number of pages7
ISBN (Electronic)978-1-4503-8339-4
DOIs
Publication statusPublished - 2021
Event24th ACM International Conference on Hybrid Systems Computation and Control, HSCC 2021, held as part of the 14th Cyber Physical Systems and Internet-of-Things Week, CPS-IoT Week 2021 - Virtual, Online, United States
Duration: 19 May 202121 May 2021

Conference

Conference24th ACM International Conference on Hybrid Systems Computation and Control, HSCC 2021, held as part of the 14th Cyber Physical Systems and Internet-of-Things Week, CPS-IoT Week 2021
CountryUnited States
CityVirtual, Online
Period19/05/2121/05/21

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