Diagnosing continuous dynamic systems using qualitative simulation

Q. Shen, R. Leitch

Research output: Contribution to journalArticle

Abstract

This paper presents important extensions to model-based diagnosis of continuous dynamic systems by using Fuzzy Qualitative Simulation as the system model. Although diagnosing dynamic systems using Artificial Intelligence techniques is just at its beginning, FuSim makes such a task feasible, since it can generate a qualitative description of the dynamic behaviour of a system with related temporal durations, allowing the synchronous detection of discrepancies between the observations and predictions of the system. The work presented here was inspired by Mimic, the pioneering approach to diagnosing continuous dynamic systems by the use of qualitative simulation.

Original languageEnglish
Pages (from-to)1000-1006
Number of pages7
JournalIEE Conference Publication
Volume2
Issue number332
Publication statusPublished - 1991
EventInternational Conference on CONTROL '91 - Edinburgh, Scotl
Duration: 25 Mar 199128 Mar 1991

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Dynamical systems
Artificial intelligence

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Shen, Q. ; Leitch, R. / Diagnosing continuous dynamic systems using qualitative simulation. In: IEE Conference Publication. 1991 ; Vol. 2, No. 332. pp. 1000-1006.
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Shen, Q & Leitch, R 1991, 'Diagnosing continuous dynamic systems using qualitative simulation', IEE Conference Publication, vol. 2, no. 332, pp. 1000-1006.

Diagnosing continuous dynamic systems using qualitative simulation. / Shen, Q.; Leitch, R.

In: IEE Conference Publication, Vol. 2, No. 332, 1991, p. 1000-1006.

Research output: Contribution to journalArticle

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