Subspace Methods for System Identification

By T. Katayama. 2005

517 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5e901a712ee14c4a1a78082dcf5ce522fbbe14dd

How researchers see this paper

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

1. Steven L. Brunton
2. J. Nathan Kutz
3. Sham M. Kakade
4. Joshua L. Proctor
5. Maizar Raissi
6. Daniel J. Hsu
7. Francis R. Bach
8. Tong Zhang

Citations in the corpus

• Dynamic Mode Decomposition with Control (2014, methodology): “The system identification methods are focused on a slightly different task, namely, producing linear models for control from input-output data [55, 26].”
• A spectral algorithm for learning Hidden Markov Models (2008, background): “The first comes from the subspace identification literature in control theory [Ljung, 1987, Overschee and Moor, 1996, Katayama, 2005].”