Comparing two methods for diagnosis of imprecise dynamic systems

Georgios Katsillis, Mike Chantler

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We compare two methods for diagnosing faults using imprecise dynamic models and imprecise measurements. By imprecise we mean that a parameter or measurement is only known to an interval rather than a point on the real number line. The first uses 'Temporal Band Sequences' (TBS - due to [loi96]) to encode the measurements and parameters - it checks the consistency of these sequences against the model using symbolic integration. The second uses a numerically-based interval simulator. The interval behaviour predicted by the simulator is simply compared against the interval description of measured output. Although the simulation-based method suffers from numerical interval integration inaccuracies, it still outperforms the consistency checking method because it exploits the interrelations among the state variables and parameters. The simulation method is, however, computationally expensive and is not complete due to the sampling.

Original languageEnglish
Title of host publicationEuropean Control Conference, ECC 1999 - Conference Proceedings
Number of pages6
ISBN (Print)978-3-9524173-5-5
Publication statusPublished - 2015
Event1999 European Control Conference - Karlsruhe, Germany
Duration: 31 Aug 19993 Sept 1999


Conference1999 European Control Conference
Abbreviated titleECC 1999


  • diagnosis
  • imprecise dynamic models
  • intervals

ASJC Scopus subject areas

  • Control and Systems Engineering


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