Efficient Computation of Multivariable Transfer Function Dominant Poles Using Subspace Acceleration

By Joost Rommes, Nelson Martins. IEEE Transactions on Power Systems, 2006

123 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e4af737a2955a8b7c13a6b6dd52129c62cf81280

How researchers see this paper

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

In Civil and Structural Engineering

1. Joost Rommes
2. Nelson Martins
3. Paulo Cesar Pellanda
4. Taishan Zeng
5. Yuesheng Xu

In Control and Systems Engineering

1. Taishan Zeng
2. Yuesheng Xu
3. Joost Rommes
4. Nelson Martins
5. Paulo Cesar Pellanda

In Statistical and Nonlinear Physics

1. Joost Rommes
2. Nelson Martins
3. Paulo Cesar Pellanda
4. Taishan Zeng
5. Yuesheng Xu

Citations in the corpus

• Computation of Transfer Function Dominant Zeros With Applications to Oscillation Damping Control of Large Power Systems (2007, methodology): “4, needed when the schemes are extended with subspace acceleration (similar to SADPA [14] and SAMDP [15]), is not (readily and cheaply) available.”
• Computing Large-Scale System Eigenvalues Most Sensitive to Parameter Changes, With Applications to Power System Small-Signal Stability (2008, methodology): “See [23] and [24] for more details, including full code for Matlab,”
• OPTIMAL H2 MODEL REDUCTION FOR LARGE SCALE MIMO SYSTEMS VIA TANGENTIAL INTERPOLATION (2011, methodology): “The second one is a selection of the mirror images of the m eigenvalues corresponding to largest residuals computed by the algorithm proposed in paper [16].”