Results 131 to 140 of about 3,355 (214)

Minimum Divergence Filtering using a Polynomial Chaos Expansion

open access: yes, 2018
Bayesian filters for discrete-time systems make use of the Chapman-Kolmogorov equation and Bayes\u27 rule to predict and update the uncertainty of a state. For nonlinear filtering problems, the Bayesian recursion is not guaranteed to close.
DeMars, Kyle J., Schmid, Christine L.
core   +1 more source

Polynomial Chaos Expansion With Fuzzy and Random Uncertainties in Dynamical Systems

open access: yes, 2016
This paper proposes a surrogate model which is able to deal with mixed uncertain dynamical systems: some uncertain parameters are modelled by random variables whereas others are represented by fuzzy variables.
Jacquelin, E.   +4 more
core  

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