Discarding data to perform more accurate system identification
(1995) Proceedings of 1995 34th IEEE Conference on Decision and Control — Location: New Orleans, LA, USA (13.December.1995)
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- Authors
Bastin, Georges 
- Abstract
- Presents results concerning the parameter estimates obtained by prediction error methods in the case of system input signals that are insufficiently rich. Such input signals are typical of industrial measurements where occasional stepwise reference changes occur. Using singular value decomposition techniques, the authors propose a new data selection criterion that discards the poorly informative data in order to decrease the total mean square error (MSE) of the estimated parameters.
- Affiliations
Citations
Carrette, P., Bastin, G., Genin, Y., & Gevers, M. (1995). Discarding data to perform more accurate system identification. Proceedings of the 34th IEEE Conference on Decision and Control (Cat.No.95CH35803), Vol. 2, p. 1823-4. https://doi.org/10.1109/CDC.1995.480605