The network uncertainty quantification method for propagating uncertainties in component-based systems

29 Aug 2019 Carlberg Kevin Guzzetti Sofia Khalil Mohammad Sargsyan Khachik

This work introduces the network uncertainty quantification (NetUQ) method for performing uncertainty propagation in systems composed of interconnected components. The method assumes the existence of a collection of components, each of which is characterized by exogenous-input random variables, endogenous-input random variables, output random variables, and a local uncertainty-propagation operator that computes output random variables from input random variables... (read more)

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  • NUMERICAL ANALYSIS
  • NUMERICAL ANALYSIS