@inbook{Borghesan:2018:10.1016/B978-0-444-64241-7.50100-2,
author = {Borghesan, F and Chioua, M and Thornhill, NF},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-444-64241-7.50100-2},
pages = {631--636},
title = {Forecast of persistent disturbances using k-nearest neighbour methods},
url = {http://dx.doi.org/10.1016/B978-0-444-64241-7.50100-2},
year = {2018}
}

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TY  - CHAP
AB  - This paper focuses on the prediction of persistent disturbances based on their past measurements using two versions of the k-nearest neighbours method: an unweighted and a weighted version. Results of tests on data from a refinery show that the two methods can predict the future trend of a disturbance. They also show that the weighted version is more robust against the choice of the number of nearest neighbours used. The method opens up the possibility of model-free feedforward control without the constraint of causality based on the whole history of a measurement.
AU  - Borghesan,F
AU  - Chioua,M
AU  - Thornhill,NF
DO  - 10.1016/B978-0-444-64241-7.50100-2
EP  - 636
PY  - 2018///
SP  - 631
TI  - Forecast of persistent disturbances using k-nearest neighbour methods
T1  - Computer Aided Chemical Engineering
UR  - http://dx.doi.org/10.1016/B978-0-444-64241-7.50100-2
ER  - 

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