Spatio-temporal UML statechart for cyber-physical systems

Ziwei Liu, Jing Liu, Jifeng He, Zuohua Ding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Cyber-Physical Systems (CPSs) integrate computing, communication and control processes. Therefore, both time and space information are required in the design and modeling of CPS systems. CPS also requires demanding real time property. However, unified modeling of continuous and discrete variables is still an unsolved problem in the CPS development. In this paper we propose an extended UML state chart, Spatio-Temporal UML state chart for Cyber-Physical Systems (STUML State chart). This state chart is based on the UML Profile for Modeling and Analysis of Real-time and Embedded (MARTE) systems. In STUML State charts, we unify the logical time and the chronometric time variables, and extend the traditional events to CPS events. Based on MARTE and hybrid automata, we improve the STUML state chart, and based on Labeled Transition Systems, we define formal syntax and semantics of STUML state charts. At the end of this paper, an Intelligent Transportation System is employed as an example to show how to model the system behavior with STUML state charts.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 17th International Conference on Engineering of Complex Computer Systems, ICECCS 2012
PublisherIEEE Computer Society
Pages137-146
Number of pages10
ISBN (Print)9782954181004
DOIs
StatePublished - 2012
Event17th International Conference on Engineering of Complex Computer Systems, ICECCS 2012 - Paris, France
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings - 2012 IEEE 17th International Conference on Engineering of Complex Computer Systems, ICECCS 2012

Conference

Conference17th International Conference on Engineering of Complex Computer Systems, ICECCS 2012
Country/TerritoryFrance
CityParis
Period18/07/1220/07/12

Keywords

  • Intelligent Transportation System
  • MARTE
  • hybrid automata

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