Stochastic Model Development and Forecasting for Unsteady, Dynamic Systems

Fuqua, Matthew; Doty, John H.

doi:10.2514/6.2012-1125

Search citation statements

Order By: Relevance

Paper Sections

Select...

A Validation Philosophy and Objective2

Verification and Validation Activities1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarity between flight test and lab test has to be ascertained to be able to combine test data into models and use one set as verification of the other. Test data analysis, interpretation and manipulation procedures are tested or under development to incorporate model uncertainties 14,15,16 .…”

Section: Verification and Validation Activitiesmentioning

confidence: 99%

“…In addition, stochastic methodologies to evaluate time-variant validation concepts will also be considered as discussed by Fuqua and Doty 14,15 . This requires a fundamental shift in the modeling approach employed by the designers of complex systems of systems -a shift away from deterministic modeling and towards stochastic system analysis and simulation.…”

Section: A Validation Philosophy and Objectivementioning

confidence: 99%

“…As discussed by Fuqua and Doty 14,15 , original data may be used to develop statistical modeling methodologies to anchor validation concepts. In this manner one is able to address the limitations of developing a physics-based, firstprinciples model.…”

Section: A Validation Philosophy and Objectivementioning

confidence: 99%

See 2 more Smart Citations