ETCetera: Beyond Event-Triggered Control

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
5 Downloads (Pure)

Abstract

We present ETCetera, a Python library developed for the analysis and synthesis of the sampling behaviour of event triggered control (ETC) systems. In particular, the tool constructs abstractions of the sampling behaviour of given ETC systems, in the form of timed automata (TA) or finite-state transition systems (FSTSs). When the abstraction is an FSTS, ETCetera provides diverse manipulation tools for analysis of ETC's sampling performance, synthesis of communication traffic schedulers (when networks shared by multiple ETC loops are considered), and optimization of sampling strategies. Additionally, the TA models may be exported to UPPAAL for analysis and synthesis of schedulers. Several examples of the tool's application for analysis and synthesis problems with different types of dynamics and event-triggered implementations are provided.

Original languageEnglish
Title of host publicationProceedings of the 25th ACM International Conference on Hybrid Systems (HSCC 2022)
Subtitle of host publicationComputation and Control, Part of CPS-IoT Week 2022
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages11
ISBN (Electronic)978-1-4503-9196-2
DOIs
Publication statusPublished - 2022
Event25th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2022, held as part of the 15th Cyber Physical Systems and Internet-of-Things Week, CPS-IoT Week 2022 - Virtual, Online, Italy
Duration: 4 May 20226 May 2022

Conference

Conference25th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2022, held as part of the 15th Cyber Physical Systems and Internet-of-Things Week, CPS-IoT Week 2022
Country/TerritoryItaly
CityVirtual, Online
Period4/05/226/05/22

Keywords

  • abstraction
  • event-triggered control
  • networked control systems
  • scheduling

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