Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation

Physica D Nonlinear Phenomena ◽

10.1016/j.physd.2016.09.007 ◽

2017 ◽

Vol 340 ◽

pp. 46-57 ◽

Author(s):

Fei Lu ◽

Kevin K. Lin ◽

Alexandre J. Chorin

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Sivashinsky Equation

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A realization approach to stochastic model reduction

International Journal of Control ◽

10.1080/00207178508933398 ◽

1985 ◽

Vol 42 (4) ◽

pp. 821-838 ◽

Author(s):

UDAY B. DESAI ◽

DEBAJYOTI PAL ◽

ROBERT D. KIRKPATRICK

Keyword(s):

Stochastic Model ◽

Model Reduction

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A Minimum Output Information Loss Method for Stochastic Model Reduction

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1712534 ◽

2006 ◽

Author(s):

Xin Tai ◽

Hui Zhang ◽

Youxian Sun

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Information Loss ◽

Loss Method ◽

Output Information

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Deterministic balancing and stochastic model reduction

IEEE Transactions on Automatic Control ◽

10.1109/tac.1985.1104087 ◽

1985 ◽

Vol 30 (9) ◽

pp. 921-923 ◽

Author(s):

R. Vaccaro

Keyword(s):

Stochastic Model ◽

Model Reduction

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A stochastic model reduction method for nonlinear unconfined flow with multiple random input fields

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-016-1241-7 ◽

2016 ◽

Vol 31 (4) ◽

pp. 835-851 ◽

Author(s):

Xinguang He ◽

Lijian Jiang ◽

Weisheng Xia

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Reduction Method ◽

Random Input ◽

Unconfined Flow

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On “Subspace Methods” Identification and Stochastic Model Reduction

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)47790-1 ◽

1994 ◽

Vol 27 (8) ◽

pp. 693-699 ◽

Author(s):

Anders Lindquist ◽

Giorgio Picci

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Subspace Methods

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Stochastic model reduction for chaos representations

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2006.10.047 ◽

2007 ◽

Vol 196 (37-40) ◽

pp. 3951-3966 ◽

Author(s):

Alireza Doostan ◽

Roger G. Ghanem ◽

John Red-Horse

Keyword(s):

Stochastic Model ◽

Model Reduction

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Probabilistic equivalence and stochastic model reduction in multiscale analysis

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2008.03.016 ◽

2008 ◽

Vol 197 (43-44) ◽

pp. 3584-3592 ◽

Author(s):

M. Arnst ◽

R. Ghanem

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Multiscale Analysis

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Stochastic model reduction for robust dynamical characterization of structures with random parameters

Comptes Rendus Mécanique ◽

10.1016/j.crme.2017.09.006 ◽

2017 ◽

Vol 345 (12) ◽

pp. 844-867 ◽

Author(s):

Martin Ghienne ◽

Claude Blanzé ◽

Luc Laurent

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Random Parameters

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A transformation approach to stochastic model reduction

IEEE Transactions on Automatic Control ◽

10.1109/tac.1984.1103438 ◽

1984 ◽

Vol 29 (12) ◽

pp. 1097-1100 ◽

Author(s):

U. Desai ◽

D. Pal

Keyword(s):

Stochastic Model ◽

Model Reduction ◽

Transformation Approach

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Remarks on stochastic model reduction

IEEE Transactions on Automatic Control ◽

10.1109/tac.1987.1104596 ◽

1987 ◽

Vol 32 (4) ◽

pp. 356-358 ◽

Author(s):

Kemin Zhou

Keyword(s):

Stochastic Model ◽

Model Reduction

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