DocumentCode
2203080
Title
Propagating Uncertainty Through Discrete Time Dynamic Systems
Author
Mari, Luca ; Petri, Dario
Author_Institution
Univ. Cattaneo, Castellanza
fYear
2006
fDate
20-21 April 2006
Firstpage
23
Lastpage
26
Abstract
The Monte Carlo method is used to analyze the propagation of uncertainty through dynamic systems by means of simulation. To this purpose a specifically designed and implemented simulation engine is presented and some results are discussed
Keywords
Monte Carlo methods; measurement uncertainty; Monte Carlo method; discrete time dynamic systems; uncertainty propagation; Algorithm design and analysis; Analytical models; Computational modeling; Context modeling; Covariance matrix; Density functional theory; Engines; Joining processes; Measurement uncertainty; Taylor series;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Methods for Uncertainty Estimation in Measurement, 2006. AMUEM 2006. Proceedings of the 2006 IEEE International Workshop on
Conference_Location
Sardagna
Print_ISBN
1-4244-0249-2
Type
conf
DOI
10.1109/AMYEM.2006.1650742
Filename
1650742
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