Modeling guidelines for component-based supervisory control synthesis

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3 Citations (Scopus)
1 Downloads (Pure)

Abstract

Supervisory control theory provides means to synthesize supervisors from a model of the uncontrolled plant and a model of the control requirements. Currently, control engineers lack experience with using automata for this purpose, which results in low adaptation of supervisory control theory in practice. This paper presents three modeling guidelines based on experience of modeling and synthesizing supervisors of large-scale infrastructural systems. Both guidelines see the model of the plant as a collection of component models. The first guideline expresses that independent components should be modeled as asynchronous models. The second guideline expresses that physical relationships between component models can be easily expressed with extended finite automata. The third guideline expresses that the input-output perspective of the control hardware should be used as the abstraction level. The importance of the guidelines is demonstrated with examples from industrial cases.

Original languageEnglish
Title of host publicationFormal Aspects of Component Software - 16th International Conference, FACS 2019, Proceedings
EditorsFarhad Arbab, Sung-Shik Jongmans
Place of PublicationCham
PublisherSpringer
Pages3-24
Number of pages22
ISBN (Electronic)978-3-030-40914-2
ISBN (Print)978-3-030-40913-5
DOIs
Publication statusPublished - 2019
Event16th International Conference on Formal Aspects of Component Software, FACS 2019 - Amsterdam, Netherlands
Duration: 23 Oct 201925 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12018 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Formal Aspects of Component Software, FACS 2019
Country/TerritoryNetherlands
CityAmsterdam
Period23/10/1925/10/19

Keywords

  • Automata
  • Modeling
  • Supervisory control synthesis

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