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Erschienen in:
Multidisciplinary System Modeling and Optimization Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

2. Uncertainty Characterization and Modeling

verfasst von : Loïc Brevault, Jérôme Morio, Mathieu Balesdent

Erschienen in: Aerospace System Analysis and Optimization in Uncertainty

Verlag: 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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Vorheriges Kapitel Multidisciplinary System Modeling and Optimization
Nächstes Kapitel Uncertainty Propagation and Sensitivity Analysis
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Metadaten
Titel
Uncertainty Characterization and Modeling
verfasst von
Loïc Brevault
Jérôme Morio
Mathieu Balesdent
Copyright-Jahr
2020
Buch
Aerospace System Analysis and Optimization in Uncertainty

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

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

Copyright-Jahr: 2020

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