Title :
Propagating Uncertainty Through Discrete Time Dynamic Systems
Author :
Mari, Luca ; Petri, Dario
Author_Institution :
Univ. Cattaneo, Castellanza
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;
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
DOI :
10.1109/AMYEM.2006.1650742
