On-line nonparametric regression to learn state-dependent disturbances
Kruif de, Bas J. and Vries de, Theo J.A. (2003) On-line nonparametric regression to learn state-dependent disturbances. In: IEEE International Symposium on Intelligent Control, 2003, October 5-8, 2003, Houston, Texas.
|Abstract:||A combination of recursive least squares and weighted least squares is made which can adapt its structure such that a relation between in- and output can he approximated, even when the structure of this relation is unknown beforehand.
This method can adapt its structure on-line while it preserves information offered by previous samples, making it applicable in a control setting. This method has been tested with compntergenerated data, and it b used in a simulation to learn the non-linear state-dependent effects, both with good success.
|Item Type:||Conference or Workshop Item|
|Copyright:||© 2003 IEEE|
Electrical Engineering, Mathematics and Computer Science (EEMCS)
|Link to this item:||http://purl.utwente.nl/publications/74467|
|Export this item as:||BibTeX|
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