System identification

By T. Söderström, P. Stoica. 1988

How researchers see this paper

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

1. Michel Fliess
2. Babak Hassibi
3. Tianshi Chen
4. Lennart Ljung
5. Bertrand M. Hochwald
6. Gianluigi Pillonetto
7. H. S. Ramírez
8. Thomas Bo Schön

Citations in the corpus

• An algebraic framework for linear identification (2003, background): “[2, 4, 5, 15, 17, 18, 20–23, 25, 29, 31, 33, 37–40] and the references therein), a major difference lies in the absence of any least squares and/or probabilistic methods.”
• Kernel methods in system identification, machine learning and function estimation: A survey (2014, methodology): “The most widespread approach to identification of dynamic systems relies on parametric prediction error methods (PEMs), for which a large corpus of theoretical results is available (Ljung, 1999; Söderström & Stoica, 1989).”