3 papers
cs.CE2022
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters
Philippe Bisaillon, Brandon Robinson, Mohammad Khalil +3
We consider state and parameter estimation for a dynamical system having both time-varying and time-invariant parameters. It has been shown that the robustness of the Markov Chain…
math.NA2019
The network uncertainty quantification method for propagating uncertainties in component-based systems
Kevin Carlberg, Sofia Guzzetti, Mohammad Khalil +1
This work introduces the network uncertainty quantification (NetUQ) method for performing uncertainty propagation in systems composed of interconnected components. The method assum…
physics.data-an2018
Bayesian Modeling of Inconsistent Plastic Response due to Material Variability
Francesco Rizzi, Mohammad Khalil, Reese E. Jones +3
The advent of fabrication techniques such as additive manufacturing has focused attention on the considerable variability of material response due to defects and other microstructu…