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Uncertainty Characterization and Modeling

In: Aerospace System Analysis and Optimization in Uncertainty

Author

Listed:
  • Loïc Brevault

    (Chemin de la Hunière BP 80100)

  • Jérôme Morio

    (2, Avenue Edouard Belin- BP 74025)

  • Mathieu Balesdent

    (Chemin de la Hunière BP 80100)

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.

Suggested Citation

  • Loïc Brevault & Jérôme Morio & Mathieu Balesdent, 2020. "Uncertainty Characterization and Modeling," Springer Optimization and Its Applications, in: Aerospace System Analysis and Optimization in Uncertainty, chapter 0, pages 31-65, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-39126-3_2
    DOI: 10.1007/978-3-030-39126-3_2
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