Model order reduction (MOR) is here understood as a computational technique to reduce the order of a dynamical system described by a set of ordinary or differential-algebraic equations (ODEs or DAEs) to facilitate or enable its simulation, the design of a controller, or optimization and design of the physical sys-
tem modeled. It focuses on representing the map from inputs into the system to its outputs, while its dynamics are treated as a blackbox so that the large-scale set of describing ODEs/DAEs can be replaced by a much smaller set of ODEs/DAEs without sacrificing the accuracy of the input-to-output behavior.
%0 Book Section
%1 citeulike:13751038
%A Benner, Peter
%A Faßbender, Heike
%B Encyclopedia of Systems and Control
%C London
%D 2014
%E Baillieul, John
%E Samad, Tariq
%I Springer
%K lumped-parameter-modelling 00a71-theory-of-mathematical-modeling 93a30-systems-theory-mathematical-modeling 93b11-system-structure-simplification
%R 10.1007/978-1-4471-5102-9\_142-1
%T Model Order Reduction: Techniques and Tools
%U http://dx.doi.org/10.1007/978-1-4471-5102-9\_142-1
%X Model order reduction (MOR) is here understood as a computational technique to reduce the order of a dynamical system described by a set of ordinary or differential-algebraic equations (ODEs or DAEs) to facilitate or enable its simulation, the design of a controller, or optimization and design of the physical sys-
tem modeled. It focuses on representing the map from inputs into the system to its outputs, while its dynamics are treated as a blackbox so that the large-scale set of describing ODEs/DAEs can be replaced by a much smaller set of ODEs/DAEs without sacrificing the accuracy of the input-to-output behavior.
@incollection{citeulike:13751038,
abstract = {{Model order reduction (MOR) is here understood as a computational technique to reduce the order of a dynamical system described by a set of ordinary or differential-algebraic equations (ODEs or DAEs) to facilitate or enable its simulation, the design of a controller, or optimization and design of the physical sys-
tem modeled. It focuses on representing the map from inputs into the system to its outputs, while its dynamics are treated as a blackbox so that the large-scale set of describing ODEs/DAEs can be replaced by a much smaller set of ODEs/DAEs without sacrificing the accuracy of the input-to-output behavior.}},
added-at = {2017-06-29T07:13:07.000+0200},
address = {London},
author = {Benner, Peter and Fa{\ss}bender, Heike},
biburl = {https://www.bibsonomy.org/bibtex/2358e731143af0df1e6269c16fe05ff0d/gdmcbain},
booktitle = {Encyclopedia of Systems and Control},
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citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-4471-5102-9\_142-1},
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doi = {10.1007/978-1-4471-5102-9\_142-1},
editor = {Baillieul, John and Samad, Tariq},
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keywords = {lumped-parameter-modelling 00a71-theory-of-mathematical-modeling 93a30-systems-theory-mathematical-modeling 93b11-system-structure-simplification},
posted-at = {2015-09-04 06:01:15},
priority = {2},
publisher = {Springer},
timestamp = {2020-03-01T23:47:29.000+0100},
title = {{Model Order Reduction: Techniques and Tools}},
url = {http://dx.doi.org/10.1007/978-1-4471-5102-9\_142-1},
year = 2014
}