Essential ingredients for fault-tolerant control are the ability to represent system behaviour following the occurrence of a fault, and the ability to exploit this representation for deciding control actions. Gaussian processes seem to be very promising candidates for the first of these, and model predictive control has a proven capability for the second. We therefore propose to use the two together to obtain fault-tolerant control functionality. Our proposal is illustrated by several reasonably realistic examples drawn from flight control.
@article{bwmeta1.element.bwnjournal-article-amcv25i1p133bwm,
author = {Xiaoke Yang and Jan M. Maciejowski},
title = {Fault tolerant control using Gaussian processes and model predictive control},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {25},
year = {2015},
pages = {133-148},
zbl = {1322.93044},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv25i1p133bwm}
}
Xiaoke Yang; Jan M. Maciejowski. Fault tolerant control using Gaussian processes and model predictive control. International Journal of Applied Mathematics and Computer Science, Tome 25 (2015) pp. 133-148. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv25i1p133bwm/
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