Stability-preserving model order reduction for linear stochastic Galerkin systems

Stability-preserving model order reduction for linear stochastic Galerkin systems

Abstract Mathematical modeling often yields linear dynamical systems in science and engineering. We change physical parameters of the system into random variables to perform an uncertainty quantification. The stochastic Galerkin method yields a larger linear dynamical system, whose solution represen...

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Bibliographic Details
Main Author: Roland Pulch
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:Journal of Mathematics in Industry
Subjects:
Linear dynamical system
Polynomial chaos
Stochastic Galerkin method
Model order reduction
Asymptotic stability
Lyapunov equation
Online Access:http://link.springer.com/article/10.1186/s13362-019-0067-6

Internet

http://link.springer.com/article/10.1186/s13362-019-0067-6

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