Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | A Simulation Model Validation and Calibration Platform Linköping University Electronic Press Conference Proceedings
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Title:
A Simulation Model Validation and Calibration Platform
Author:
Shenglin Lin: Control and Simulation Center, Harbin Institute of Technology, China Wei Li: Control and Simulation Center, Harbin Institute of Technology, China Xiaochao Qian: Control and Simulation Center, Harbin Institute of Technology, China Ping Ma: Control and Simulation Center, Harbin Institute of Technology, China Ming Yang: Control and Simulation Center, Harbin Institute of Technology, China
DOI:
10.3384/ecp17142687
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
100
Pages:
687-693
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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The simulation model validation and calibration (SMVC) is a complicated work, including uncertainty description, many simulation experiments execution and complex data analysis etc. Moreover, there are many uncertainty factors such as model form assumptions and solution approximations, random variability of model inputs, etc. need to be considered when requiring a precise model. For assisting the SMVC effectively, this paper develops a software platform to validate and calibrate the simulation models when some quantities may be affected by uncertainty. First, an unprecedented process model, which includes uncertainty description, simulation experiment design, model validation and model calibration, is presented to explicate the procedures of SMVC under uncertainty. In the process model, many new model validation and calibration algorithms under uncertainty are applied based on our previous work. Second, the design of platform is divided into two parts, which consist of structure design and function design, and the software technique based on strategy pattern is introduced to integrate and maintain the SMVC algorithms. Then this platform is implemented according to its expected uses and key design requirements. Finally, application example of model validation and calibration of a flight vehicle kinematic control system is illustrated how to use the platform.

Keywords: model validation, model calibration, uncertainty description; software platform

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Shenglin Lin, Wei Li, Xiaochao Qian, Ping Ma, Ming Yang
Title:
A Simulation Model Validation and Calibration Platform
DOI:
http://dx.doi.org/10.3384/ecp17142687
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Shenglin Lin, Wei Li, Xiaochao Qian, Ping Ma, Ming Yang
Title:
A Simulation Model Validation and Calibration Platform
DOI:
https://doi.org10.3384/ecp17142687
Note: the following are taken directly from CrossRef
Citations:
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Last updated: 2019-10-02