Model reduction of second order systems

By Younes Chahlaoui, Kyle A. Gallivan, Antoine Vandendorpe, P. Dooren. 2005

81 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Numerical Analysis, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/a537014d9ec1a2d6b0facc929eff42481cf60daa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. U. Tabak
2. van de N Nathan Wouw
3. Boris Lohmann
4. H. Nijmeijer
5. Daniel J. Rixen
6. Michiel E. Hochstenbach
7. Tatjana Stykel
8. Behnam Salimbahrami

In Numerical Analysis

1. Timo Reis
2. Tatjana Stykel
3. U. Tabak
4. van de N Nathan Wouw
5. Boris Lohmann
6. H. Nijmeijer
7. Daniel J. Rixen
8. Michiel E. Hochstenbach

In Statistical and Nonlinear Physics

1. Timo Reis
2. Tatjana Stykel
3. Boris Lohmann
4. Behnam Salimbahrami
5. U. Tabak
6. van de N Nathan Wouw
7. H. Nijmeijer
8. Daniel J. Rixen

Citations in the corpus

• A comparison of model reduction techniques from structural dynamics, numerical mathematics and systems and control (2013, background): “However, extensions of balanced truncation and moment matching aiming at the preservation of a second-order form exist, see e.g. [9].”
• Order reduction of large scale second-order systems using Krylov subspace methods (2006, background): “In [9,10], other approaches in reducing second-order systems are proposed leading to second-order reduced systems.”
• Balanced truncation model reduction of second-order systems (2008, methodology): “In this subsection, we consider the position and velocity controllability and observability Gramians as introduced in [14, 20].”