Overcoming the Obstacle of Time-dependent Model Output for Statistical Analysis by Nonlinear Methods
Modelica models represent static or dynamic systems. Their outputs can be scalar (numbers) or time-dependent (time series). Most advanced mathematical methods for the analysis of numerical models cannot cope with functional outputs. This paper aims at showing an efficient method to reduce a time-dep...
Main Authors: | Girard Sylvain, Gerrer Claire-Eleuthèriane |
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Format: | Article |
Language: | English |
Published: |
Ital Publication
2021-03-01
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Series: | HighTech and Innovation Journal |
Subjects: | |
Online Access: | https://hightechjournal.org/index.php/HIJ/article/view/79 |
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