Simulation product fidelity: A qualitative & quantitative system engineering approach

Sangeeth Saagar Ponnusamy 1, 2
2 LAAS-ISI - Équipe Ingénierie Système et Intégration
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : In using Modeling and Simulation for the system Verification & Validation activities, often the difficulty is finding and implementing consistent abstractions to model the system being simulated with respect to the simulation requirements. A proposition for the unified design and implementation of modeling abstractions consistent with the simulation objectives based on the computer science, control and system engineering concepts is presented. It addresses two fundamental problems of fidelity in simulation, namely, for a given system specification and some properties of interest, how to extract modeling abstractions to define a simulation product architecture and how far does the behaviour of the simulation model represents the system specification. A general notion of this simulation fidelity, both architectural and behavioural, in system verification and validation is explained in the established notions of the experimental frame and discussed in the context of modeling abstractions and inclusion relations. A semi-formal ontology based domain model approach to build and define the simulation product architecture is proposed with a real industrial scale study. A formal approach based on game theoretic quantitative system refinement notions is proposed for different class of system and simulation models with a prototype tool development and case studies. Challenges in research and implementation of this formal and semi-formal fidelity framework especially in an industrial context are discussed.
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Theses
Computer science. Universite Toulouse III Paul Sabatier, 2016. English
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Submitted on : Tuesday, October 4, 2016 - 10:42:59 AM
Last modification on : Thursday, January 11, 2018 - 6:26:48 AM
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  • HAL Id : tel-01376060, version 1

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Sangeeth Saagar Ponnusamy. Simulation product fidelity: A qualitative & quantitative system engineering approach. Computer science. Universite Toulouse III Paul Sabatier, 2016. English. 〈tel-01376060〉

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