@inproceedings{51c47e286de345d09e404d445ed06963,
title = "On-line Nonparametric Regression to learn State-Dependent Disturbances",
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.",
author = "{de Kruif}, {Bas J.} and {de Vries}, {Theo J.A.}",
year = "2003",
month = oct,
day = "5",
doi = "10.1109/ISIC.2003.1253917",
language = "English",
isbn = "0-7803-7892-X",
series = "Proceedings of the IEEE International Symposium on Intelligent Control",
publisher = "OmniPress",
pages = "75--80",
booktitle = "Proceedings of the 2003 IEEE International Symposium on Intelligent Control (ISIC)",
note = "2003 IEEE International Symposium on Intelligent Control, ISIC 2003, ISIC ; Conference date: 05-10-2003 Through 08-10-2003",
}