Stochastic Model-based Analysis of Timing Errors for Mechatronic Systems with User-defined General Discrete-time Distributions

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Contributors

Abstract

This paper introduces a new stochastic method for model-based analysis of the timing behavior for reliable design of mechatronic systems with distributed, concurrent processes. Given a baseline behavioral system model, e.g. a semi-formal UML activity diagram, which actions are annotated with timing properties specified with user-defined general discrete-time distributions and formalized timing requirements, this method helps to analyze the occurrence of timing errors. The method comprises a specific baseline model reduction, the mapping of the semi-formal model into a formal stochastic Petri net model, and the generation of a discrete-time Markov chain model. The results allow the design verification and the comparison of various design options regarding the timing behavior in early design phases. A concept study of a mobile medical patient table serves as a demonstrative example.

Details

Original languageEnglish
Pages (from-to)1417-1424
Number of pages8
JournalIFAC-PapersOnLine (Vol. 55, Issue 38)
Volume51
Issue number24
Publication statusPublished - 2018
Peer-reviewedYes

Keywords

ASJC Scopus subject areas

Keywords

  • Mechatronic Medical Devices, Networked Systems, Petri net-based analysis, Prognosis, Reliability, Safety-Critical Systems, Stochastic Timing Analysis