Structure Preserving Order Reduction of Large Scale Second Order Systems

By Behnam Salimbahrami, Boris Lohmann. 2004

122 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7d40b4b00e2b5ad55ede7fa82727f8b5f3201aad

How researchers see this paper

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

In Control and Systems Engineering

1. Boris Lohmann
2. Tatjana Stykel
3. Behnam Salimbahrami
4. Timo Reis
5. Jan G. Korvink
6. Elena Virnik
7. Volker Mehrmann
8. Vu Hoang Linh

In Statistical and Nonlinear Physics

1. Timo Reis
2. Tatjana Stykel
3. Evgenii B. Rudnyi
4. Rudy Eid
5. Jan G. Korvink
6. Boris Lohmann
7. Behnam Salimbahrami
8. Peter Eberhard

In Statistics and Probability

1. Tatjana Stykel
2. Evgenii B. Rudnyi
3. Timo Reis
4. Jan G. Korvink
5. Volker Mehrmann

Citations in the corpus

• Balanced truncation model reduction of second-order systems (2008, background): “Unfortunately, the reduced system (5) cannot, in general, be turned into the second-order form (2), see [10,11] for special cases when it can be done.”
• Parametric Order Reduction of Proportionally Damped Second Order Systems (2006, methodology): “Also, special model reduction methods based on the so called Second Order Krylov Subspaces have been developed to treat second order systems directly [3, 11, 15, 16].”