Balanced truncation model reduction of second-order systems
By Timo Reis, Tatjana Stykel. 2008
172 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Numerical Analysis, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/9e719b3c9b09298c54cc379127e4746ea15ebff9
How researchers see this paper
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In Electrical and Electronic Engineering
- Peter Benner
- Bernd Simeon
- Oliver Weeger
- Patrick Kürschner
- Utz Wever
- Jens Saak
- Jörg Fehr
- Peter Eberhard
In Numerical Analysis
- Patrick Kürschner
- Jens Saak
- Peter Benner
- Bernd Simeon
- Oliver Weeger
- Utz Wever
- Jörg Fehr
- Peter Eberhard
In Statistical and Nonlinear Physics
- Patrick Kürschner
- Jens Saak
- Peter Benner
- Bernd Simeon
- Oliver Weeger
- Utz Wever
- Jörg Fehr
- Peter Eberhard
Citations in the corpus
- On the use of modal derivatives for nonlinear model order reduction (2016, methodology): “Specifically in state-space formulations, balanced truncation is a favourite method [2, 3, 4, 5, 6], since it guarantees the observability and the stability of the system [7].”
- Simulation process of flexible multibody systems with non-modal model order reduction techniques (2011, methodology): “In [39] the different approaches for balanced truncation of second-order systems are described.”
- An improved numerical method for balanced truncation for symmetric second-order systems (2013, background): “Following the approach in [5], one can choose between four possible singular value decompositions”
- Efficient balancing-based MOR for large-scale second-order systems (2011, unknown): “Unfortunately, the global balanced truncation error bound for the reduction is lost if the structure preserving balanced truncation is applied in the following [14, 16, 17].”