An assumption-driven casespecific model editor

R. Lakner, I. T. Cameron, K. M. Hangos

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

A case sensitive intelligent model editor has been developed for constructing consistent lumped dynamic process models and for simplifying them using modelling assumptions. The approach is based on a systematic assumption-driven modelling procedure and on the syntax and semantics of process models and the simplifying assumptions.

Original languageEnglish
Pages (from-to)S695-S698
JournalComputers and Chemical Engineering
Volume23
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jun 1 1999

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ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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