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Multidisciplinary System Modeling and Optimization Read chapter Read first chapter

2020 | OriginalPaper | Chapter

2. Uncertainty Characterization and Modeling

Authors : Loïc Brevault, Jérôme Morio, Mathieu Balesdent

Published in: Aerospace System Analysis and Optimization in Uncertainty

Publisher: Springer International Publishing

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Abstract

The design process of complex systems such as aerospace vehicles involves physics-based and mathematical models. A model is a representation of the reality through a set of simulations and/or experimentations under appropriate assumptions. Due to simplification hypotheses, lack of knowledge, and inherent stochastic quantities, models represent reality with uncertainties. These uncertainties are quite large at the early phases of the design process. The term uncertainty has various definitions and taxonomies depending on the research communities. The concept of uncertainty is related to alternative concepts such as imperfection, ignorance, ambiguity, imprecision, vagueness, incompleteness, etc.

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Metadata
Title
Uncertainty Characterization and Modeling
Authors
Loïc Brevault
Jérôme Morio
Mathieu Balesdent
Copyright Year
2020
Book
Aerospace System Analysis and Optimization in Uncertainty

Print ISBN: 978-3-030-39125-6

Electronic ISBN: 978-3-030-39126-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-39126-3_2