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...

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Bibliographic Details
Main Authors: Girard Sylvain, Gerrer Claire-Eleuthèriane
Format: Article
Language:English
Published: Ital Publication 2021-03-01
Series:HighTech and Innovation Journal
Subjects:
fmi
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/79